• To present our initial findings on the research data production, consumption, depositing, and FAIR practices;
• To discuss the directions for the recommendations emerging from the study.

The webinar will be structured around three themes:

• Research data production, consumption, and depositing practices;
• Maturity of FAIR research data;
• Assessment of research data repositories.

The preliminary agenda of the webinar is provided below:

Please register by 7 June via the following link: https://ec.europa.eu/eusurvey/runner/ERDLwebinar. All registered participants will receive a link to connect to the workshop.

• Secondary data and its common sources.
• Copyright ownership and duration.
• Copyright exceptions and limitations.
• Copyright in an international context.
• Copyright and licenses.
• other relevant rights in secondary data use.

By the end of the session, attendees will have a better understanding of copyright considerations when creating, using or sharing data. For example, what protection is offered under copyright and other relevant rights, identifying copyright exemptions, copyright ownership, country-level diversity, etc.

There will be time at the end for questions and discussion.

• Presenter: Dr Hina Zahid
• Level: Introductory
• Experience/knowledge required: None
• Target audience: Researchers/anyone interested in creating, sharing and using data
• We will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this, such as a smartphone.

The event takes place online and starts at 11:00 CEST.

The free 90-minute workshop will consist of an interactive presentation followed by a live demonstration and a facilitated activity. There will be time at the end for questions and discussion.

In order to fully take part in the workshop, attendees should already be familiar with the basic methods of qualitative or quantitative data research.

• Presenters: Nigel de Noronha and Maureen Haaker
• Level: Introductory
• Experience/knowledge required: Basic methods of qualitative or quantitative data research
• Target audience: Researchers/anyone interested in reusing data

The event takes place online and starts at 11:00 CEST.

The first session will introduce attendees to the brief origins of copyright with a focus on copyright considerations in both publishing and teaching. By the end of the session, attendees will have a better understanding of different terms and licences available for publishing in different formats.

Attendees will also be familiar with the blanket copyright licences that the UK Higher education institutions tend to utilise for teaching. Furthermore, common copyright questions will be addressed and the importance of appreciating the situation-dependent nature of copyright will be highlighted.

This session links to the following areas of the Research Development Framework:

• research planning and publishing
• publishing and open access

There will be time at the end for questions and discussion.

• Presenters: Hannah Pyman and Dr Hina Zahid
• Level: Introductory
• Experience/knowledge required: None
• Target audience: Researchers/anyone interested in copyright considerations in publishing and teaching

We will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this, such as a smartphone.

The event takes place online and starts at 11:00 CEST.

While social science research has always been marked by technological approaches to some degree, the field of computational social science involves the use of tools, data and methods that require a different skill set and mindset.

The workshop intersperses instruction with discussion and gives participants the chance to develop a research project idea through several steps. The workshop is suitable for absolute beginners and NO CODING SKILLS are required. That said, several Jupyter notebooks are provided to allow those who are interested to develop relevant coding skills through interactive exercises in their own time.

• Presenters: Louise Capener and Nadia Kennar

Kitchen, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society, https://doi.org/10.1177/2053951714528481.

• Level: Any level, from absolute beginner to statistics whiz
• Experience/knowledge required: No specific knowledge required, but it will make much more sense if you currently (or plan to) conduct social science research
• Target audience: Social scientists who are interested in or confused by what computational and empirical social science is about, or who know they want to start doing more computational work but don’t know how to get started

This session will also focus on highlighting best practices to prepare consent documentation. We will evaluate consent forms researchers have used in practice and discuss the model consent form the UK Data Service advocates.

There will be time at the end for questions and discussion.

• Presenter: Dr Hina Zahid
• Level: Introductory
• Experience/knowledge required: None
• Target audience: Researchers/anyone interested in ethical and legal aspects of sharing research data
• We will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this, such as a smartphone.

The event takes place online and starts at 11:00 CEST.

The session will cover how to deposit data using a self-deposit repository like ReShare; how to describe a data collection well (i.e. what metadata and documentation should be provided); why providing detailed and accurate metadata is important; how to prepare and upload data and documentation files; and finally what access level and licence is suitable, plus how this is determined for data archived via ReShare.

The 90-minute workshop will consist of a 45-minute presentation followed by a 30-minute practical element where attendees can create a mock ReShare data collection. The workshop will conclude with 15 minutes for questions and discussion.

• Presenter: Anca Vlad
• Level: Introductory
• Experience/knowledge required: Basic methods of qualitative or quantitative data research
• Target audience: Researchers/anyone interested in publishing/archiving their data using the ReShare repository

The event takes place online and starts at 12:00 CEST.

Researchers obtaining data from people are expected to maintain high ethical standards and comply with the relevant legislation. Much research data - even sensitive data - can be shared ethically and legally.

There will be time at the end for questions and discussion.

• Presenter: Dr Hina Zahid
• Level: Introductory
• Experience/knowledge required: None
• Target audience: Researchers/anyone interested in data management
• We will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this, such as a smartphone.

The event takes place online and starts at 11:00 CEST.

This 90 minute workshop will consist of a 45 minute presentation, followed by a 30 minute practical element and finishing with 15 minutes for questions and discussion.

• Presenter: Anca Vlad
• Level: Introductory
• Experience/knowledge required: Basic methods of qualitative or quantitative data research
• Target audience: Researchers/anyone interested in data management

The event takes place online and starts at 12:00 CEST.

Ideally, research is collaborative, well-documented, sharable, and can be reproduced by others (or by the original researchers at a later point in time). Not only does this make a researcher’s job MUCH easier, it makes their work more valuable, citable and extensible. This is increasingly important in light of the ‘crisis of reproducibility’ that risks undermining scientific research in so many fields.

This training series walks you through how to:

• make your research ready for open science
• apply reproducibility to social science and other “tricky” topics
• collaborate, document and share research in diverse contexts

This course, provided by the UK Data Service, assumes no prior knowledge or experience but is not a comprehensive training course covering every possible application for the topics included. Rather it has been designed to be an intensive experience which will help you develop a deep awareness of why reproducibility matters, how to build it into every aspect of a research programme, and how to be confident that others can reproduce your work through the materials and information that you share.

For participants to get the best out of the programme, they will need to engage in multiple ways during the bootcamp (and the week before it starts). The programme is built on group instruction, independent work done out of instruction hours, and involvement in the online community built around the programme. It is vital therefore that you are able to commit at least 6 hours a week to the programme and we ask that you consider your ability to make that commitment before submitting your application for a place.

Schedule

Each week of activity in this bootcamp will comprise a range of components, some synchronous (e.g. workshop sessions led by the instructors and delivered over Zoom) and some asynchronous (e.g. video-recorded talks, contributing to discussion boards, completing work independently in small groups, etc). Each week you will be :

• joining one synchronous session from 09:45 - 12:00 (BST) every Tuesday from 26 April 2022 - 24 May 2022
• engaging in set tasks to support the learning for that week (at a time convenient to you)
• actively participating in group work during the week
• office hours style support 12:45 - 15:00 every Wednesday and additional materials will be made available each week

Due to the nature of the this of this course and the requirement to participate in independent and group work you must be able to make a solid commitment to not only attend all live sessions but also have 4-6 hours each week to complete all tasks.

Participants will be asked to do a small amount of work between instruction days (e.g. read articles, watch videos, run code, create and edit github repos, etc.) and so some free and open source software installation may be required. The full list of what software is required will be provided prior to the start of the bootcamp. The course is charged at a full 5-day rate.

A slack channel will be created for bootcamp participants to provide accessible resources and peer-to-peer support as well as a place to ask advance questions for the course instructors and to collaborate on out-of-instruction work. Slack can be installed as a desktop app or accessed via a web browser. Registration with Slack will be required but is free.

Cost

For students registered at UK/EU University £150.00
For staff at UK academic institutions, ESRC funded researchers and registered charity organisations £300.00
For all other participants £500.00

The process of anonymisation is an essential part to protect the identities of research participants while complying with these ethical and legal standards. Before sharing, archiving, or publishing data, you should ensure that all identifying and disclosive information is managed appropriately and redacted when necessary.

Join us as we critically discuss what is meant by “disclosive data” and strategies for anonymising quantitative and qualitative data. We will look specifically at key differences between anonymisation and pseudonymisation and discuss how to responsibly use, plus share data using a three-prong strategy for protecting participants’ identities.

• This free workshop will consist of a 90-minute session, including presentations, exercises and questions.
• Presenters: Anca Vlad and Maureen Haaker
• Audience: This workshop is intended for anyone who wants to learn about data anonymisation. No preparation is necessary, however, basic knowledge of research methods is assumed.

The event takes place online and starts at 12:00 CEST.

This free workshop is suitable for beginner to intermediate users of R. There is no need to know about or have experience with time series analysis but participants will need to already be familiar with the basic functioning of R. For example, participants should already know how to set their working directory, read data into R, save manipulated data under new names, and write the code to run basic descriptive statistics functions.

We will be using Mentimeter to ask questions in this workshop so you may want to have a second device handy for this, such as a smartphone, but it is not essential.

• Event Level: Beginner
• Prerequisites: Experience of R and RStudio
• Target Audience: Researchers/anyone interested in forecasting

The event takes place online and starts at 12:00 CEST.

This free online workshop will consist of an interactive presentation, with activities throughout to help attendees get to grips with finding and accessing data from the UK Data Service. There will also be time for questions at the end.

• Presenters: Louise Capener and Alle Bloom
• We will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this, such as a smartphone.

The event takes place online and starts at 11:00 CEST.

This free online workshop will consist of an interactive presentation with time for questions at the end.

• Presenters: Alle Bloom and Louise Capener.
• We will be using Mentimeter to ask questions in this workshop, so you may benefit from having a second device ready for this, such as a smartphone.

The event takes place online and starts at 11:00 CEST.

This course teaches the participants the basics of the R programming language, how to use it to prepare data for visualization and analysis, and how to visualize data. The course will be conducted in the free and popular RStudio integrated development environment. During the course, participants will be given tips and tricks that make everyday work in RStudio easier.

The course will be conducted in English. Participants are expected to bring their own laptop with R and RStudio installed. Additional information regarding the required tools, packages and data will be sent to accepted applicants.

Event venue: Zagreb, Croatia

The summer school will feature lectures by survey methodologists and data analysists from the Institute for Social and Economic Research and the Understanding Society team.

Event venue: ISER, University of Essex.

Applications must be received by 5pm GMT April 15th. Successful applicants will be informed by April 29th.

The summer school will feature lectures by survey methodologists and data analysists from the Institute for Social and Economic Research and the Understanding Society team.

The final conference programme is designed to showcase the results achieved, lever on the valuable synergies built and learn about user stories from the community. There will be time to reflect on policy & sustainability issues and look towards the future.

We also invite researchers, data experts and e-infrastructure professionals to join the online SSHOCing Hackathon to work on a pre-defined or wild card challenge with the SSHOC resources. The Hackathon brings fresh user stories and reflections for future development into the conference programme. Attractive prizes are to be won! More information will be available soon.

You can join the conference in person or online. Just let us know in the registration form so we can make this event a special one for all participants, near or far.

You can check the agenda here.

From January 2019 to April 2022 SSHOC transformed the current social sciences & humanities data landscape with its disciplinary silos and separate facilities into an integrated, cloud-based network of interconnected data infrastructures.

The final conference programme is designed to showcase the results achieved, lever on the valuable synergies built and learn about user stories from the community. There will be time to reflect on policy & sustainability issues and look towards the future.

We also invite researchers, data experts and e-infrastructure professionals to join the online SSHOCing Hackathon to work on a pre-defined or wild card challenge with the SSHOC resources. The Hackathon brings fresh user stories and reflections for future development into the conference programme. Attractive prizes are to be won! More information will be available soon.

You can join the conference in person or online. Just let us know in the registration form so we can make this event a special one for all participants, near or far.

Find out more and register.

• provide you with in-depth knowledge of state-of-the-art quantitative research methods in the social sciences,
• enable you to apply state-of-the-art quantitative analysis techniques to your own research projects,
• provide you with the opportunity to discuss your research with interested colleagues and leading experts.

The GESIS Spring Seminar is targeted at advanced graduate or PhD students, post-docs, junior and senior researchers who are interested in developing and improving their knowledge and skills in state-of-the-art techniques in quantitative data analysis. Lectures in each course are complemented by hands-on exercises giving participants the opportunity to apply these methods to data. All courses are held in English.

Program:

• Week 1: Agent-based Modelling in the Social Sciences
  • 07.03.2022 - 11.03.2022 - Prof. Dr. Andreas Flache, Carlos de Matos Fernandes, Tanzhe Tang
• Week 2: Policy Modelling
  • 14.03.2022 - 18.03.2022 - Prof. Dr. Petra Ahrweiler, Dr. Corinna Elsenbroich
• Week 3: Using Simulation Studies to Evaluate Statistical Methods
  • 21.03.2022 - 25.03.2022 - Dr. Tim Morris, Dr. Matteo Quartagno

The Spring Seminar 2022 will take place online via Zoom from 07 March to 25 March 2022.

Detailed information is available on IASSIST website.

The programme and registration are available on the conference website.

• 15:00-15:10. Welcome and introduction – Joy Davidson, FAIRsFAIR, Digital Curation Centre
• 15:10-15:45. Overview of the framework for assessing FAIR services and how to use it - Patricia Herterich, DCC and Sara Ramezani, SURF
• 15:45-15:55. Q&A
• 15:55-16:00. Wrap up – Joy Davidson, FAIRsFAIR, Digital Curation Centre

This online workshop starts on February 21 at 15:00 CET.

The list of all events is available here.

• Challenges in data sharing for social science projects.
• Data collection and assessment of existing sources.
• Documentation, metadata and quality assurance.
• Ethical and legal context.
• Storage, backup and preservation.
• Facilitating data sharing, project roles and responsibilities.

The workshop will be delivered online and will combine lectures and presentations with individual and practical exercises and group discussions. At the end of the workshop, participants would have gained a better understanding of research data management best practices, particularly on how a Data Management Plan facilitates compliance with data protection legislation and data sharing. The attendees will be provided with further resources including readings and open source tools to ease and enable data sharing.

Learning objectives

• Be able to recognise challenges in sharing data and identify techniques to overcome these.
• Gain a better understanding of Data Management Planning requirements in Social Sciences.
• Be able to design a comprehensive, accurate Data Management Plan which enables data sharing.

Target Audience

• This workshop is intended for early career researchers and support staff.

Speakers

• Cristina Magder manages the UK Data Service's Data Collections Development and Research Data Management teams at the UK Data Archive.
• Hina Zahid is the Senior Research Data Services Officer working in the UK Data Service's Research Data Management section based at the UK Data Archive, University of Essex.
• Vlad Voina is the Data Integrity Officer at the UK Data Service. He conducts assessment of data integrity, metadata and disclosure risk for data offered and deposited into the UK Data Service's self-deposit repository, ReShare.
• Anca Vlad has been part of the collections development and data publishing team at the UK Data Archive for the past 6 years.
• Maureen Haaker is a scholar in the field of qualitative methodology. She has worked with the UK Data Service for 10 years as a senior qualitative training officer and is a lecturer in the School of Social Sciences and Humanities at University of Suffolk.

• what you need to know to get the most from EOSC
• what EOSC can provide to institutions and researchers
• how to integrate institutional services into EOSC
• how institutions can facilitate and enable EOSC uptake.

We also want to hear from you about how you currently promote EOSC, which EOSC services you use and what you need to know to do so effectively.

Together, we will co-create a training programme for EOSC for 2022-2023: refining the themes and identifying reusable training content as well as discussing the most efficient modes of training delivery and other training-related issue.

The workshop takes place online on 26 January at 15:00 CET.

WEBINARS:

• 1st Transnational Access Visits Pitch, 26 January 2022 at 14:00 CET – presenting European Centre, IPSOS, and University College Dublin.
• 2nd Transnational Access Visits Pitch, 2 February 2022 at 14:00 CET – presenting Centerdata, INED, and University of Essex.

Target audience: researchers from the area of children and youth wellbeing.

For more information on the COORDINATE Project (COhort cOmmunity Research and Development Infrastructure Network for Access Throughout Europe), see https://www.coordinate-network.eu/

WEBINARS

• 1st Transnational Access Visits Pitch, 26 January 2022 at 14:00 CET – presenting European Centre, IPSOS, and University College Dublin.
• 2nd Transnational Access Visits Pitch, 2 February 2022 at 14:00 CET – presenting Centerdata, INED, and University of Essex.

Target audience: researchers from the area of children and youth wellbeing.

For more information on the COORDINATE Project (COhort cOmmunity Research and Development Infrastructure Network for Access Throughout Europe), see https://www.coordinate-network.eu/

The upcoming ICRI in 2022 will take place in Brno, Czech Republic.

Find out more on the conference website.

Get your questions answered and hear stories of navigating the pandemic, data access, privacy, and more!

Attendance at this live podcast session is free and open to the public. A live transcript will be available.

The episode will be recorded and made available after the live show.

Register here.

Conference host

The Swedish National Data Service (SND) serves as conference host in 2022. As a national research data repository governed by a consortium consisting of nine Swedish universities and working in agreement with over 30 institutions, SND has the potential to reach a large number of researchers who could gain from the knowledge exchange and experiences of IASSIST.

Calls for Presentations & Workshops

Workshops will be held on 6 June 2022.

Timeline

Deadline for submitting proposals: 7 December 2021.

Notification of acceptance: 1 February 2022.

Find out more on the conference website.

The focus of this webinar is on data curators who produce descriptive, provenience, or technical metadata, but also on researchers who are often asked to produce at least entry-level metadata regarding their datasets for self-archiving or before depositing to a data archive. Content is relevant to anyone who describes data in archives, libraries, or research-producing organisations.

Programme outline

• Introduction
• CESSDA and its services related to data description and metadata production and use
• What is a data description and how to produce a good one?
• Describing data in practice: FSD and DNA as case examples
• Metadata in use: harvesting, reuse, licensing
• Discussion and Q & A

The event starts at 10:00 and ends at 12:30.

• the EOSC Portal
• how EOSC Future supports scientific communities
• EOSC Future engagement opportunities
• the Digital Innovation Hub Business Pilots
• the EOSC Observatory
• the EOSC Future Working Groups
• the EOSC Future Knowledge Hub.

The event agenda, available below, is built around thematic sessions, so participants can choose the sessions that are most relevant or of interest to them. The goal of these sessions is not only to be informative but also to gage the interest and potential contribution of the EOSC community.

Interactive Q&A sessions will elaborate on these thematic topics and session discussions.

Agenda

Tuesday, 23 November

09.00-10.00 CET: The EOSC Portal – for researchers
This session will answer the following questions: How does the EOSC Portal work from a user perspective? What novelties can be expected within EOSC Future?

10.30-11.30 CET: Building an EOSC to support leading-edge research
This session will answer the question: How will science benefit from EOSC?

12.00-13.00 CET: Help create an EOSC that works
This session will discuss engagement opportunities within EOSC Future. During the session, the new EOSC branding competition will also be launched.

Wednesday, 24 November

09.00-10.00 CET: The EOSC Portal – for providers
This session will respond to a series of questions: How does the EOSC Portal work from a service provider perspective? What novelties can be expected within EOSC Future?

10.30-11.30 CET: EOSC Future DIH Business Pilots
This session will answer the questions: What is the EOSC Future Digital Innovation Hub and what are the plans for the business pilots?

12.00-13.00 CET: The EOSC Observatory
This session will answer the question: How will EOSC Future support the EOSC Partnership in monitoring EOSC readiness?

Thursday, 25 November

09.00-10.00 CET: EOSC Future Working Groups
This session will answer a series of prompts: What are the EOSC Future Working Groups doing? In which thematic areas? How is this work different from that of the EOSC Association Task Forces (and how will they collaborate)?

10.30-11.30 CET: The EOSC Future Knowledge Hub
This session will answer the following questions: What is the EOSC Future Knowledge Hub? What are the training plans for EOSC Future?

Online Soft Launch event of CESSDA DAG presents the content of the four current modules:

• Chapter 1: Why archive data? FAQs.
• Chapter 2: Policies – The Role of Policies in Data Archives.
• Chapter 3: Pre-Ingest. It covers what data archives do to ensure that the incoming data meets the criteria of data collection and quality requirements before the data is accepted in the archive for further curation and preservation.
• Chapter 4: Ingest. The purpose of this for the DAG is to describe what steps are necessary to guarantee high quality data, documentation material and metadata so that they can be archived and provided to secondary users while ensuring data security and protection against loss and damage.

This event's main objective is to collect feedback from participants on these current modules and discuss future content plans.

The slides from this event can be downloaded on Zenodo here.

This webinar takes place online and starts on November 18 at 14:00 CET.

This event starts on October 28 at 14:00 CEST.

The material from this webinar (video recording and slides) can be downloaded here. The recordings are also available on the CESSDA Training YouTube channel.

14.00-14.05: Introduction, CESSDA® & Trust-IT
14.05-14.15: CESSDA Data Catalogue® - Discovery at national and European levels, Alle Bloom, UK Data Service
14.15-14.25: Resilience and living well beyond cancer: the relationship between emotional support and quality of life, Patty Doran, University of Manchester
14.25-14.35: Store and Protect with the CESSDA Data Management Guide®, Gry-Hege Henriksen, Norwegian Centre for Research Data (NSD)
14.35-14.45: Use case on Center for Longitudinal Studies - how to store and how to protect, Danielle Freitas Gomes and Karen Dennison, University College London
14.45-14.55: Use case on The Five Safes framework for accessing sensitive data via the SecureLab at UK Data Service, Beate Lichtwardt, UK Data Service
14.55-15.25: Interactive Discussion - Connecting Researchers with CESSDA Service Providers to boost Societal Impact on Cancer and Major Chronic Diseases
15:25-15:30 Wrap up, CESSDA® & Trust-IT

The material from this webinar (video recording and slides) can be downloaded here. The recordings are also available on the CESSDA Training YouTube channel.

21. May 2021, 11:00 - 12:30

Language: Croatia
Lecturer: Marijana Glavica

In this workshop we will explain the prerequisites for data sharing, describe procedures for submitting a dataset to the Croatian Social Science Data Archive (CROSSDA), and demonstrate how to find data in the CESSDA Data Catalogue. In the first part, we will give an overview of the prerequisites, and also explain what a data management plan is and why it is important. We will go a bit deeper into the ethical and legal prerequisites for data sharing, with examples of information that should be given to research participants in informed consent forms about data sharing and protecting their personal data. Other prerequisites, such as cleaning and anonymising data, will be mentioned in passing, because these topics will be covered in more detail in separate workshops. In the second part, we will describe the steps for submitting data to CROSSDA. Data access levels will be discussed with workshop participants, starting with what is currently available at CROSSDA and exploring what researchers think should be available in the future. We will also explain what additional documentation needs to be submitted in addition to the data itself, and we will present data description (metadata) guidelines. Also, we will show secure mechanisms to transfer the data to CROSSDA. In the third part, we will demonstrate how to find data produced by other researchers in CROSSDA and CESSDA data catalogues.

For more information, please visit CROSSDA's webpage.

2. Introduction to anonymising quantitative data

8. May 2021, 13:00 - 15:00

language: Croatian
Lecturer: Vedran Halamić

Researchers need to have an understanding of anonymisation fundamentals, basic theoretical concepts like k-anonymity and principal techniques like data aggregation and generalization which are the primary topics of this workshop. The workshop is divided into three parts, the first one being focused on theoretical concepts like k-anonymity, the definition of personal data, categorization of identifiers (direct and indirect) and others. After the first part, the focus of the workshop will shift towards the practical side and describe basic anonymisation procedures like identifying and removing direct identifiers, data aggregation, generalization and restriction of variable range (cut-off/top coding). Furthermore, practical examples of anonymisation will be demonstrated during the third part of the workshop using the appropriate software tool (e.g ARX, Amnesia). These include anonymising commonly collected data in social research like age, education, job description etc. The content of the DMEG will be used and promoted during the workshop, particularly the whole Chapter 5. Protect, and especially Chapter 5.5. Anonymization.

For more information, please visit CROSSDA's webpage.

3. Data cleaning operations using the R language

11. June 2021, 11:00 - 14:00

language: Croatian
lecturer: Denis Vlašiček

This workshop is aimed at researchers and students with little or no experience with programming. The goal of the workshop is to introduce the participants to the R programming language, one of the most popular open source programming languages in the social sciences. Participants will be shown the basics of the R language, how to import and transform data in R, as well as the basics of regular expressions. All this will be done using the very popular RStudio integrated development environment (IDE) and the tidyverse collection of packages. Participants will be provided with helpful resources, and materials from the workshop.

The content of the DMEG will be promoted during the workshop, particularly chapters 2 Organise & Document and 3 Process.

For more information, please visit CROSSDA's webpage.

In the second part, we will present in-depth the processes, policies and tools implemented for facilitating transparent research in the social sciences. The presenters will discuss the processes that need to be in place for an open research cycle, the role of data archives and repositories in sharing research data and materials, tools for reproducing research findings in practice, collaborations between archives and social science journals, and implementing Transparency and Openness Promotion Guidelines in different social science disciplines. The event will conclude with wider reflections on the progress of social science research transparency and the way forward.

Programme:

13.30 - 14.30. Part 1: Introduction. Conceptual basis

Introduction to Research Data Publishing

Speakers: Sonja Bezjak and Sergeja Masten (Slovenian Social Science Data Archives - ADP)

Elements of research transparency

Speakers: Marijana Glavica and Denis Vlašiček (Croatian Social Science Data Archives - CROSSDA)

14.30 - 14.45. Break

14.45 - 16.45. Part 2: Transparency in practice

Speakers:

• Roland Ramthun, Leibniz-Institut für Psychologie (ZPID)
• Peter Doorn and Leen Breure, Data Archiving and Networked Services (DANS)
• Jonas Recker, GESIS Leibniz Institute for the Social Sciences
• Simon Heuberger, American University
• Matt Cannon, Head of Open Research, Taylor & Francis

Moderator: Serafeim Alvanides, Data Services for the Social Sciences (GESIS)

Register here and join an interesting discussion on research transparency!

The program:
09:00-09:30: Introduction: Data Management & Geospatial Data
09:30-09:35: Exercise 1: R Warm up
09:35-10:00: Data Processing & Spatial Linking
10:00-10:30: Exercise 2: Geospatial Data Wrangling
10:30-10:45: Break
10:45-11:15: Easy Maps
11:15-11:45: Exercise 3: Build your own map
11:45-12:00: Closing, Q & A

Presenter: Dr Stefan Jünger, GESIS – Leibniz Institute for the Social Sciences.

The material from this workshop (video recording and slides) can be downloaded here. The recording is also available on the CESSDA Training YouTube channel.

Agenda:
14.00-14.05: Introduction, CESSDA & Trust-IT
14.05-14.15: CESSDA DC® for Climate Change: An overview of Datasets in Finnish and English Datasets for Discovery, Tuomas J. Alaterä, FSD
14.15-14.25: CESSDA DMEG® on Archive & Publish, Patrícia Miranda, APIS Archive
14.25-14.35: CESSDA User story on the importance of publishing data and organizing (meta)data, Luís Junqueira, University of Lisboa
14.35-14.45: CESSDA User Story on the importance and the benefits of reuse of data in cross-disciplinary research, Vasco Ramos, University of Lisboa
14.45-14.55: CESSDA User story by Harri Melin, Tampere University
14.55-15.20: Researchers and CESSDA Service Providers discuss data discovery and management
15.20-15.30: Wrap up, CESSDA & Trust-IT

The material from this webinar (video recording and slides) can be downloaded here. The recordings of the webinar are also available on the CESSDA Training YouTube channel.

The material from this webinar (video recording and slides) can be downloaded here. The recordings of the webinar are also available on the CESSDA Training YouTube channel.

Sessions on the CESSDA Data Management Expert Guide® give a practical guide on data discovery, archiving and publishing routes, as well as European diversity. Interactive discussions bring insights into societal impacts from a CESSDA COVID-19 Ambassador and Eurodoc, the European Council of Doctoral Candidates and Junior Researchers. The event wraps-up with more interactive discussions on how CESSDA and its service providers are supporting researchers on global challenges.

Agenda:

• 14:00-14:05: Welcome and Overview of the Roadshow, Marieke Willems, Trust-IT
• 14:05-14:20: Places to find COVID data and what data is available, Alle Bloom, UKDA
• 14:20-14:30: Demo on how to search the CESSDA DC®, Alle Bloom, UKDA
• 14:30-14:50: Data production and re-use of datasets, Julia Partheymüller, AUSSDA Work less, help out more? The persistence of gender inequality in housework and childcare during UK COVID-19 - Zamberlan et al. Anna Zamberlan, Filippo Gioachin, Davide Gritti, University of Trento
• 14:50-15:00: Interactive panel discussion, Moderator, Marieke Willems with Helena Laaksonen, TUNI (FI) and Giulia Malaguarnera, Eurodoc
• 15:00-15:05: Virtual Refreshment Break
• 15:05-15:15: CESSDA DMEG® - Data Discovery, Archiving and Publication Routes, European Diversity, Ricarda Braukmann, DANS
• 15:15-15:30: How CESSDA DMEG® supports publication in the social sciences, Ricarda Braukmann, DANS and Otto Bodi, AUSSDA
• 15:30-15:55: Interactive discussion the societal impacts of COVID-19 dataset, re-use and fast-track publication
• 15:55-16:00: Interactive poll and wrap-up of main takeaways

This event starts on September 30 at 14:00 CEST.

The material from this webinar (video recording and slides) can be downloaded here. The recordings of the webinar are also available on the CESSDA Training YouTube channel.

This event starts on November 04 at 10:00 CET. Registration is available for CESSDA members and partners only.

The workshop will consist of 30 minutes of presentations, 40 minutes of hands-on practical, and time at the end for questions.

Presenter: David Rawnsley.
Level: Introductory.
Experience/knowledge required: Some spreadsheet knowledge would be useful.
Target audience: Anyone interested in knowing more about the UK population.

The longitudinal studies are extremely rich data sources for high impact and policy relevant research. The British Birth Cohort Studies (e.g. the National Child Development Study 1958 and The Millennium Cohort Study) follow the same group of children born in a specific year throughout their lives, tracking changes and unravelling the reasons behind them. Understanding Society is an innovative and world-leading study about live and its changes in the UK in the 21st century. The real world impact of these studies continues to be substantial. Additionally, the Covid-19 pandemic has created a defining moment for longitudinal research.

Longitudinal studies provide a unique opportunity to track both short and long term effects of the pandemic, alongside invaluable pre-pandemic measures of health and behaviour. Many longitudinal studies have added Covid-19 specific datasets and we will explore what some of these cover.

Most of the studies can be downloaded after a short registration. Subsamples of some of these datasets are also available for teaching purposes.

This free 90-minute online workshop will consist of a 30-minute presentation, followed by 20 minutes for questions, and an optional 40-minute hands-on practical. The presentation and hands-on are separate parts of the workshop and attending the hands-on is optional.

The workshop will include:

• an overview of the longitudinal studies available via the UK Data Service
• a tour on how to navigate our new website to search for longitudinal studies
• quiz and participant interaction
• updates and findings from Covid-19 datasets
• the key features of longitudinal surveys and the policy relevance (impact) of the information they contain
• how to access the data, undertake exploratory online analysis and get further help.

Presenters: Beate Lichtwardt and James Rayner.
Level: Introductory.
Experience/knowledge required: None.
Target audience: Researchers/anyone interested in longitudinal data.

This event starts on November 30 at 11:00 GMT+2.

The workshop will consist of 30 minutes of presentations, 40 minutes of hands-on practical, and time at the end for questions.

Presenter: David Rawnsley.
Level: Introductory.
Experience/knowledge required: Some spreadsheet knowledge would be useful.
Target audience: Anyone interested in knowing more about the UK population.

This event starts on November 18 at 11:00 GMT+2.

The free 90-minute workshop will consist of an interactive presentation followed by a live demonstration and a facilitated activity. There will be time at the end for questions and discussion.

In order to fully take part in the workshop, attendees should already be familiar with the basic methods of qualitative or quantitative data research.

Presenters: Nigel de Noronha and Maureen Haaker.
Level: Introductory.
Experience/knowledge required: Basic methods of qualitative or quantitative data research.
Target audience: Researchers/anyone interested in reusing data.

This event starts on November 15 at 11:00 GMT+2.

The workshop intersperses instruction with discussion and gives participants the chance to develop a research project idea through several steps. The workshop is suitable for absolute beginners and NO CODING SKILLS are required. That said, several Jupyter notebooks are provided to allow those who are interested to develop relevant coding skills through interactive exercises in their own time.

Presenter: Julia Kasmire.

Kitchen, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society, https://doi.org/10.1177/2053951714528481.

Level: Any level, from absolute beginner to statistics whiz Experience/knowledge required: No specific knowledge required, but it will make much more sense if you currently (or plan to) conduct social science research.

Target audience: Social scientists who are interested in or confused by what computational and empirical social science is about, or who know they want to start doing more computational work but don’t know how to get started.

This event starts on November 09 at 11:00 GMT+2.

Presenter: Dr Hina Zahid.
Level: Introductory.
Experience/knowledge required: None.
Target audience: Researchers/anyone interested in ethical and legal aspects of sharing research data.

This event starts on November 05 at 11:00 GMT+2.

The session will cover how to deposit data using a self-deposit repository like ReShare; how to describe a data collection well (i.e. what metadata and documentation should be provided); why providing detailed and accurate metadata is important; how to prepare and upload data and documentation files; and finally what access level and licence is suitable, and how this is determined for data archived via ReShare.

The 90-minute workshop will consist of a 45-minute presentation followed by a 30-minute practical element where attendees can create a mock ReShare data collection. The workshop will conclude with 15 minutes for questions and discussion.

Presenter: Anca Vlad.
Level: Introductory.
Experience/knowledge required: Basic methods of qualitative or quantitative data research.
Target audience: Researchers/anyone interested in publishing/archiving their data using the ReShare repository.

This event starts on November 04 at 12:00 GMT+2.

In the second part of the workshop, we address data protection issues that are common in Social Sciences and how they can be handled. In particular, we explain how quantitative and qualitative data need to be curated in order to comply with data protection regulations in general and AUSSDA deposit guidelines in particular. We will present how AUSSDA scans quantitative data for potential data protection violations using STATA and give participants the opportunity to test the code on their own data and devices. Throughout all sessions, we encourage participants to share questions and potential problems of their own research projects.

The number of available places is limited. Please contact info@aussda.at about joining.

This event starts on September 27 at 10:00 CEST.

Researchers obtaining data from people are expected to maintain high ethical standards and comply with the relevant legislation. Much research data - even sensitive data - can be shared ethically and legally.

Presenter: Dr Hina Zahid.
Level: Introductory.
Experience/knowledge required: None.
Target audience: Researchers/anyone interested in data management.

This event starts on October 22 at 11:00 CEST.

This 90 minute workshop will consist of a 45 minute presentation, followed by a 30 minute practical element and finishing with 15 minutes for questions and discussion.

Presenter: Anca Vlad.
Level: Introductory.
Experience/knowledge required: Basic methods of qualitative or quantitative data research.
Target audience: Researchers/anyone interested in data management.

This event starts on October 21 at 12:00 CEST.

Join us as we critically discuss what is meant by “disclosive data” and strategies for anonymising quantitative and qualitative data. We will look specifically at key differences between anonymisation and pseudonymisation and discuss how to responsibly use and share data using a three-prong strategy for protecting participants’ identities.

This free workshop will consist of a 90-minute session, including presentations, exercises and questions.

Presenters: Anca Vlad and Maureen Haaker

Audience: This workshop is intended for anyone who wants to learn about data anonymisation. No preparation is necessary, however basic knowledge of research methods is assumed.

This event starts on October 18 at 12:00 CEST.

These UK and cross-national surveys provide a rich source of data from representative samples on important social and economic topics including work, family life, health, and social and political attitudes. In addition to surveys from NatCen and ONS, our collection includes cross-national surveys such as the Eurobarometer surveys and the European Election Studies. In most cases, you can simply download the data once registered with the UK Data Service.

The session will cover:

• the UK and cross-national datasets available from the UK Data Service
• key features of survey data with examples from commonly used surveys
• how to access the data and getting further help.

The webinar will consist of a 30 minute presentation, followed by a practical demonstration of the facilities to find data and a further 20 minutes for questions.

Presenter: Nigel de Noronha

Level: Introductory
Experience/knowledge required: None
Target audience: Researchers/anyone interested in survey or cross-national data

This event starts on October 14 at 11:00 CEST.

As part of this interactive workshop, you'll be given a guided walk-through of some of our data catalogue pages, and get to explore a downloaded dataset and test your knowledge of the research cycle.

If you are a final year student looking for inspiration for your current project or simply trying to evaluate options for next year’s dissertation, this workshop will help you start thinking about how to complete a successful secondary analysis project and ensure you get valuable research experience during your degree.

This is an introductory workshop that assumes no prior experience of using archived data.

This event starts on October 12 at 11:00 CEST.

We will discuss best approaches to searching data and how to use the search tool to narrow down search results. We will also explore other service resources provided to help you get the data you want and related information.

This free webinar will consist of a 40-minute presentation followed by 20 minutes for questions.

Presenter: Madi Jones

This event starts on October 07 at 11:00 CEST.

The course covers:

• what is contained in the census microdata – strengths and limitations
• potential research topics using census microdata
• preparing data for analysis
• combining census microdata analysis with other methods

Participants will learn what information is collected and how, how it is stored, how to access the data and how to prepare the data for different types of analysis using the statistical software of your choice (Stata, R or SPSS).

Course content and format

The course will be introduced by an update on the 2021 census microdata, expected date of release, formats, and requirements to access the data, followed by a description of the dataset to be used in the hands-on session. The hands-on session will cover loading the data, selecting and recoding variables, creating an aggregate file and carrying out a logistic regression. Coding files will be provided for Stata, R, and SPSS and participants will need to specify the software they want to use in the registration form.

Course tutors

The course will be led by Nigel de Noronha from the UK Data Service and supported by team members.

Course materials

Participants will be provided with handouts of the presentation slides, worksheets and syntax files (of the software of their choice) accompanying the practical session.

Preparation

To access this course you should be registered with the UK Data Service and have the appropriate version of the 2011 Census Microdata Individual Safeguarded Sample (Regional): England and Wales (SN 7605) downloaded as outlined below:

• R - CSV
• Stata - STATA
• SPSS - SPSS

Experience/knowledge required: Capable of using chosen software (SPSS, STATA or R) to carry out logistic regression.

Target audience: Social Science researchers interested in exploring social inequality.

This course starts on October 07 at 14:00 CEST.

This free webinar will consist of a 35 minute presentation followed by an exploratory task to help researchers become familiar with our key data. There will also be time for questions at the end.

Presenter: Emily Durrant

This webinar starts on October 05 at 11 CEST.

We have developed a set of canonical training materials that cover a wide range of relevant topics from understanding data access, the Five Safes framework to key statistical disclosure control principles. These materials are designed to be used by a wide range of safe data access facilities to form the basis of their researcher training programme. We have designed these materials so that individual facilities can adapt the content to suit the needs of their service and researchers with minimal additional resource requirements.

During this virtual workshop, we will discuss the format and development of the training materials and how we believe they could be adapted before presenting the materials themselves. These training materials are still in development, so we are keen to get feedback to enable us to further develop and improve them. Therefore, the workshop will close with a discussion session to allow attendees a chance to discuss the materials in small groups, and to allow presenters to gather valuable feedback.

Event presenter: Dr Deborah Wiltshire, GESIS - Leibniz Institute for the Social Sciences. Deborah is a demographer and social scientist currently working as the Head of the Secure Data Center at GESIS - Leibniz Institute for the Social Sciences, where she is responsible for secure data access to a wide range of detailed research data. Previously she worked at the UK Data Service, where she spent a number of years delivering Safe Researcher Training for researchers applying to access controlled data through the Secure Lab. She was also part of the SRT Expert Group, a multi-agency group responsible for delivering and reviewing safe researcher training.

This event starts on September 21 at 14:30 CEST.

The workshop will present two open source tools that aim to ease the curation process for researchers:

• QAMyData, an open-source tool created by the UK Data Service that automatically assesses and reports on elements of data quality. It checks data for issues such as missingness, labelling and duplication, and looks for potentially disclosive information such as outliers and direct identifiers, providing a ‘health check’ for data and creating a data quality report.
• sdcMicro, an open source practical R package for disclosure review with a locally run GUI feature. It is a flexible and useful tool that provides detailed information on disclosure issues. It also enables a choice of potential solutions to fix them, based on a comparison between different statistical disclosure control methods.

Practical demonstrations and hands-on exercises will be used throughout the workshop. Participants are encouraged to have both tools downloaded on their PC/laptops if they would like to use them during the workshop however this is not compulsory. For sdcMicro both R and R Studio need to be installed.

The workshop’s objective is to enable trainers to introduce the main key concepts about numeric data quality assessment and disclosure control in training sessions, alongside hands-on practice with existing open source tools. Standard exercises and presentations used will be shared with the audience for future reuse and adaptation.

We will finish with a short session to gather your feedback for the day, including how you might wish to integrate these tools into your routine training sessions and materials.

Please note that the number of participants is limited.

Programme

09.30 - 09.45 Welcome
09.45 – 10.15 Presentation: Data Quality Assessment and QAMyData
10.15 – 10.30 Presentation: Lessons Learned - Teaching on Data Quality Assessment and Introducing Semi-Automated Curation Tools
10.30 – 10.45 Break
10.45 – 11.15 Exercise: Assessing Data Quality
11.15 – 12.00 Presentation: Assessing Disclosure Risk in Microdata
12.00 – 12.15 Presentation: Lessons Learned - Teaching on Statistical Disclosure Control and Associated Tools
12.15 – 12.30 Break
12.30 – 12.45 Demo: sdcMicro
12.45 – 13.15 Exercise: Statistical Disclosure Control
13.15 -13.30 Close and feedback

Trainer: Cristina Magder - Collections Development Manager, UK Data Archive, UK Data Service

Cristina manages the UK Data Service’s Data Collections Development and Research Data Management teams at the UK Data Archive, ensuring that key data are effectively identified, negotiated and appraised for research and teaching. She leads the research data management portfolio of support and training for the UK Data Service, with a particular focus on ensuring the successful operationalisation of the UKRI Research Data Policy for the Economic and Social Research Council. Her main teaching interests are data management planning, sharing and archiving data with a specific focus on data quality assurance and disclosure risk assessment, and reproducibility.

The material from this workshop (slides and exercises) can be downloaded here. The recording is also available on the CESSDA Training YouTube channel.

Virtual hosts: Sciences Po, Center for Socio-Political Data (CDSP), CNRS, Paris

EDDI21 is organised jointly by the The Center for Socio-Political Data, GESIS - Leibniz Institute for the Social Sciences and IDSC of IZA - International Data Service Center of the Institute for the Study of Labor.
The conference will bring together DDI users and professionals from all over Europe and the world. Anyone interested in developing, applying, or using DDI is invited to attend and present.

• Submission Deadline: September 1, 2021, 23:59 CEST
• Date: November 30 - December 1, 2021
• Hosts: Sciences Po, Center for Socio-Political Data (CDSP), CNRS, Paris
• Conference web page: https://eddi21.sciencesconf.org

Updates will be posted on the conference website and through the DDI Users list (sign up) and on Twitter @DDIAlliance.

Summary Programme (times in CEST)
13:00 Welcome, Context and “Journals Outreach” Findings (2020) & Activities (2021-22)
13:30 Expert Panel: “What are the challenges of data sharing from different perspectives?”
15:00 Questions & Open discussion “Working together to tackle challenges and find solutions”
15:30 Journals Outreach Task partners available for informal discussion with participants.

The 2021 conference will build on the discussions and conclusions of the first four conferences. It will also be an opportunity to advance debates about research infrastructure policies that have been ongoing in various international fora.

The goals for this year’s conference are to:

• develop a more structured approach to international collaboration
• identify lessons learned and best practices in the development and use of research infrastructures
• discover areas of common interest, and
• build connections between stakeholders and decision makers across the globe.

Registration for this conference is by invitation only. Invitations will be sent directly to invitees and will include detailed information on how to register.

Find out more on the conference website.

This year marks the start of Horizon Europe, our most ambitious EU research and innovation programme ever and will be a decisive moment to strengthen our European Research Area. Cooperation in research and innovation is essential in our recovery from the COVID-19 pandemic and will pave the way to a greener and more digital future. The European Research and Innovation Days represent a unique opportunity to add your voice to the conversation.

The event is all about collaboration: bringing together individuals and experts from all areas to build connections and ignite a brighter future.

View the live sessions programme of the Research and Innovation days 2021.

Stay tuned at #RIDaysEU for more news and updates!

• Dieter Van Uytvanck will speak about citations in the context of the CLARIN Virtual Collection Registry;
• Pavel Stranak will address issues with citations in Czech LINDAT Center; and
• Michel Jacobson and Nicolas Larrousse will present the specifics of citing oral resources in French CoCoon Center.

Apart from addressing general considerations with regards to citing practices, the speakers will also talk about the challenges linked to practically making citations, and suggest some approaches to overcome them. The workshop will provide ample time for discussion and hands-on exercises where the participants will be able to observe some consequences of using good or bad citation protocols.

Target audience: The workshop is suited to SSH researchers and repository managers as well as anyone other interested in data citation in the SSH domain.

It is based on the CESSDA Data Management Expert Guide and focuses in particular on RDM issues relevant to social science researchers working with quantitative data.

The workshop takes place online, is free of charge and will be in English. It is possible to register until 21 May. The number of available places is limited.

The material from this workshop (video recording and slides) can be downloaded here:

• Introduction to Data Management – Organizing, processing and storing data.
• GDPR for researchers – Making your data management GDPR proof.
• Working with Administrative Data – An ODISSEI Case Study.
• Introduction to Data Management – Archiving and Discovering Data.

The videos of this workshop are also available on YouTube: Part 1 Introduction to Data Management, Part 2 GDPR for Researchers, Part 3 Case Study With Adminstrative Data, and Part 4 Archiving and Discovering Data.

The session will cover how to deposit data using a self-deposit repository like ReShare, how to describe a data collection well (i.e. what metadata and documentation should be provided), why providing detailed and accurate metadata is important, how to prepare and upload data and documentation files and finally what access level and licence is suitable and how this is determined for data archived via ReShare.

• The free webinar will consist of a 40 minute presentation and ReShare tour, followed by questions and discussion.
• Presenter: Anca Vlad.
• Level: Introductory.
• Experience/knowledge required: Basic methods of qualitative or quantitative data research.
• Target audience: Researchers/anyone interested in publishing/archiving their data using the ReShare repository.

The event starts at 12:00 CEST.

The workshop intersperses instruction with discussion and invites participants the chance to develop a research project idea through several steps. The workshop is suitable for absolute beginners and NO CODING SKILLS are required. That said, several jupyter notebooks are provided to allow those who are interested to develop relevant coding skills through interactive exercises on your own time.

Presenter: Julia Kasmire

• Kitchen, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society, https://doi.org/10.1177/2053951714528481.

Level: Any level, from absolute beginner to statistics whiz.

Experience/knowledge required: No specific knowledge required, but it will make much more sense if you are currently (or plan to) conduct social science research.

Target audience: Social scientists who are interested in or confused about what computational and empirical social science is about or who know they want to start doing more computational work but don’t know how to get started.

The event starts at 12:00 CEST.

This is an introductory workshop that assumes no prior experience of using archived data.

Presenters: Maureen Haaker and Alle Bloom

• Level: Beginner
• Experience/knowledge required: basic knowledge of research methods is advisable but no prior experience of working with secondary data is required.
• Target audience: postgraduate students and HE staff teaching research method.

The event starts at 12:00 CEST.

By the end of the session, attendees will

• understand the survey design including sampling, methods of data collection and how the LFS has adapted due to COVID-19
• have an overview of the strengths and weaknesses of the LFS and APS as a source of data
• understand the different types of LFS/APS datasets available
• be able to navigate and use the LFS documentation
• know about using the weighting variables for different types of analysis
• be familiar with the structure and contents of the datasets

This online workshop includes a practical data analysis session led in SPSS. To participate in this part, participants will need to have access to a computer with SPSS (or PSPP) installed. We will try to provide equivalent materials for other software (either before or after the event), if you would be interested in receiving these, please indicate which package on the registration form.

The event starts at 10:30 CEST.

The first part of the bootcamp will focus on the demonstration of existing tools that aid RDM and could be used as hands-on-exercises in training activities. This will be followed by a session on didactics, in which we will cover tips for training development, including the use of more interactive elements, preparations, evaluations and the development of learning objectives. Participants will be encouraged to assess the usefulness of the presented tools for their own target audience, and consider how they could structure their own training activities.

The second day of the bootcamp will focus on training development using what was discussed on Day 1. We will facilitate an interactive session where we discuss how the presented materials and tools can be used in the context of an RDM training. We will examine different training methods, exchange experiences, and discuss how to make training interactive and prepare hands-on-exercises. In the last part of the bootcamp, participants will receive an update on the SSH Training Toolkit. Throughout SSHOC, existing and newly developed training materials have been collected in the Toolkit and we will highlight key training materials that are already available (e.g. materials on for instance GDPR, sensitive data, FAIR and open data).

The event starts on 10th May at 13:00 CEST.

This session will also focus on highlighting best practices to prepare consent documentation. We will evaluate consent forms researchers have used in practice and discuss the model consent form the UK Data Service advocates.

There will be time at the end for questions and discussion.

Presenter: Dr Hina Zahid

The event starts at 11 CEST.

Should I learn R or Python?

How reproducible should my work be? What steps should I take to make it so?

Does SQL have a place in Data Science?

How much of your work involves "Big Data"?

As these questions come up so frequently, the UK Data Service is maintaining a Data FAQs resource where interested people can ask such questions or peruse previously asked questions to find carefully curated answers.

To kick-start this resource, PyDataMCR is collaborating with the UK Data Service to host a panel of experts. They will discuss these prompts, and others submitted prior to the panel event, in order to crowd-source some detailed answers.

The panel:

Eslene Bikoumou

Tom Liptrot

Rachael Ainsworth

Mark Elliot

This free event starts at 18.00 CEST and will be live streamed on YouTube

The free 90-minute workshop will consist of an interactive presentation followed by a live demonstration and a facilitated activity. There will be time at the end for questions and discussion.

In order to fully take part in the workshop, attendees should already be familiar with the basic methods of qualitative or quantitative data research.

Presenters: Patty Doran and Alle Bloom

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

The event starts at 12 CEST.

The webinar will consist of 2 presentations.

The first presentation is a general introduction to MTNA's Rich Data Services, followed by a brief Q&A session.

The second presentation looks at how CESSDA (and other research infrastructures) might use RDS, with reference to Dataverse, NESSTAR and DDI metadata. That will be followed by a Q&A session.

Presenters (all Metadata Technology North America):

• Pascal Heus
• Andrew DeCarlo
• Carson Hunter
• Jack Gager

Chair/moderator: John Shepherdson (CESSDA)
The event starts at 16.00 CEST.

The material from this webinar (video recording and slides) can be downloaded here.

This free webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

Presenter: Madi Jones

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

The event starts at 12 CEST

Making use of this lost data requires the integration of social survey and linguistic infrastructures. Such integration underpins the EOSC vision. As such, the basis for the work within SSHOC on analysing voice recorded interviews seeks to provide both a proof of concept and a framework for future research that explores this approach.

Agenda

• Judith Koops from the Generations and Gender Programme, will provide an overview of the project. She will focus on the advantages of collaboration between the different infrastructures and new insights generated over the course of the project.
• Joris Mulder from the LISS panel will demonstrate the tools used for collecting audio data through existing survey software in online interviews. He will provide an evaluation of the challenges encountered in this project as well as the way these issues were solved.
• Henk van den Heuvel from the Speech and Tech team will then describe the tools used for analysis of Oral History data which could be adapted for analysis of survey interviews. In particular he will address the so-called Transcription Chain, which is based on automatic speech-to-text conversion. The resulting text can, after manual correction, be processed by NLP tools to obtain more insights into its linguistic structure, or for topic detection or text summarisation, amongst others.
• Giovanni Borghesan from the European Values Study will lead the interactive session where participants will discuss potential applications for the tools, the use of the data for new avenues of scientific research, as well as ways to improve the collection, processing and archiving of audio data.

The Multilingual Corpus of Survey Questionnaires (MCSQ) is the first publicly available corpus of international survey questionnaires, comprising survey items from the European Social Survey (ESS), European Values Study (EVS), and the Survey of Health Ageing and Retirement in Europe (SHARE).

The recently released Version 2.0 (entitled Mileva Marić-Einstein) is composed of questionnaires of the aforementioned studies in the (British) English source language and their translations into eight languages, namely Catalan, Czech, French, German, Norwegian, Portuguese, Spanish, and Russian, as well as 29 language varieties (e.g. Swiss-French). The MCSQ is a relevant digital artefact, that allows researchers in the fields of social sciences and linguistics to quickly search and compare survey items in a myriad of languages. In this seminar, we present the corpus characteristics and showcase applications of the MCSQ.

This webinar is co-organised by the SSHOC project and UPF.

This webinar consists of two parts: 40 minutes presentation and 20 minutes Q&A session.

The speaker is Danielly Sorato, computer scientist interested in Natural Language Processing. She is a software developer at the Research and Expertise Centre for Survey Methodology (RECSM) of Universitat Pompeu Fabra (Barcelona, Spain).

No registration is required. The presentation is free of charge and open for everyone. To join this webinar via Zoom and for more information about the session, please visit the UPF webpage.

The event starts at 15 CEST.

This free webinar will consist of a 35 minute presentation followed by 20 minutes for questions.

Presenter: Emily Durrant

The event starts at 12.00 CEST.

Pivot tables are possibly more used than tables but often only for relatively simple data summarisations. Additionally, they can be used to find unique (or non-unique) values and provide basic statistics and, as we can now easily join tables, what about a pivot table using multiple tables?

This free webinar, organised by the UK Data Service, will demonstrate all of the above and more.

The webinar will last for 1 hour with 15 minutes for questions and answers at the end.

Speaker: Peter Smyth, University of Manchester

Rwcordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

The webinar will consist of a 50-minute session, including presentations and exercises, followed by time for questions.

Audience: This webinar is intended for anyone who wants to learn about data anonymisation. No preparation is necessary however basic knowledge of research methods is assumed.

Presenters: Maureen Haaker, Anca Vlad

Should I learn Python or R, or something else?

What’s the difference between data science and statistics?

Do I need to be good at maths to do data science?

To discuss these questions we will be hosting a panel of individuals of varying backgrounds and experience in data science within industry and academia:

Kerry Parker

Fiona Pye

Liam Brierley

The panel will be moderated by Joe Allen, a research associate with the UK Data Service.

The event starts at 16 CET.

The afternoon workshop is in Polish.

You can register for one or for both sessions.

Find out more on the event website.

The data are stored on a remote access secure platform at the UK Data Archive, hosted at the University of Essex. From here, accredited UK academic researchers can obtain controlled access to a wide range of data for approved research projects via a secure research portal. All project applications are assessed by data access committees to ensure that the proposed use of the data complies with the data owners' rigorous data governance and ethical protocols.

In the first part of the webinar, the UK Data Service Secure Lab team will discuss the impact of the DEA and what this means for access to a wide range of de-identified data. They will then introduce the wide range of de-identified data that are available in the Secure Lab under the DEA gateway.

In the second part, they will outline the accreditation and application process and will provide some hints and tips for how to put together a successful application.

This webinar will be useful for researchers looking to explore the range of controlled data available. It will also be useful for researchers applying to access secure data made available via different legal gateways through the UK Data Service, and are interested in learning more about the application process.

This webinar will last 40 minutes with 20 minutes for questions and answers at the end.

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

The catalogue currently provides metadata on about 30,000 datasets in 10 languages. A wide range of data are covered, including quantitative, qualitative and mixed modes, longitudinal and cross-sectional, national and cross-national data.

We have now released an updated version of the catalogue. Join our one-hour webinar to hear what has changed and how the catalogue can be used to find data.

We have invited a content expert from a Service Provider to explain why and how to use the CESSDA Data Catalogue and a researcher to provide a user perspective. There are also brief presentations on other services feeding into the catalogue: the CESSDA Vocabulary Service and the ELSST thesaurus discovery platform.

Target audience: University research libraries, data services personnel and researchers.

The event starts at 11:00 CET.

Program:

11:00: CESSDA Data Catalogue: presentation and search tips (Taina Jääskeläinen)
11:20: User perspective (Michele Girardi)
11:30: Questions
11:35: Introduction to CESSDA Vocabulary Service and ELSST discovery platform (Taina Jääskeläinen)
11:50: Questions
12:00: End

The material from this webinar (video recording, slides and Q&A) can be downloaded here. The recording of the webinar is also available on YouTube.

Lemn provides a personal perspective about how identity can be removed and (re)constructed in data and the impact on his life.

Participants will hear about the ways in which researchers and policymakers from UK academia, public, and voluntary and community sectors gain insight into identity in data focused on populations, communities and individuals. We will consider:

• What key development would support the continued and evolving representation of self and identity in data?
• What are the opportunities from convening collective research and policy focuses on data collection methods focused on identity?
• How might a community support innovation in this space?

We aim to start building a vibrant and supportive community, linking data producers, researchers and communities, with the aim of continuing the discussions from the event.

They will have the opportunity to explore the potential for the establishment of a digital community focused on research and policy focused on #IdentityInData.

Find out more & book your place for #DataImpact2021 on the UK Data Service website.

The kick-off session of the webinar series takes place on 20 January 2021.

Find out more on the ELIXIR website.

More information about Galaxy analyses of COVID-19 data: covid19.galaxyproject.org

Participants will receive expert training from leading practitioners and trainers in the field of Research Data Management, and will have the opportunity to specialise in a key area of interest and also to receive peer feedback on an assignment to be completed between sessions. The second session will conclude with a plenary session focusing on Research Data Management didactics.

Course Structure

Day 1 will introduce three topics from which participants can then choose a specialisation:

• Planning to meet the costs of managing research data to be FAIR
• GDPR and Ethical issues in working with social media data,
• Dealing with third-party data coming from Cultural Heritage institutions (galleries, museums, libraries, archives)

Participants will receive a ‘homework assignment’ in their chosen subject area, to be completed ready for discussion during Day 2.

Please note: Participation is required on both days.

Registered participants will then receive information about how to attend the sessions by once they register.

Program of Day 2

On Day 2 participants will discuss their completed assignments and attend a plenary session on didactics.

Didactics

Kerstin Helbig (Humboldt-Universität zu Berlin)

The bootcamp will finish with a session on didactics. In this session, Kerstin Helbig (Humboldt-Universität zu Berlin, Germany) will take participants through the seven steps of concept development. Trainers can apply these steps to develop and improve their training and to maximize their training success

This is an event for CESSDA Service Providers.

Find out more about the Trust Working Group.

Participants will receive expert training from leading practitioners and trainers in the field of Research Data Management, and will have the opportunity to specialise in a key area of interest and also to receive peer feedback on an assignment to be completed between sessions. The second session will conclude with a plenary session focusing on Research Data Management didactics.

Course Structure

Day 1 will introduce three topics from which participants can then choose a specialisation:

• Planning to meet the costs of managing research data to be FAIR
• GDPR and Ethical issues in working with social media data,
• Dealing with third-party data coming from Cultural Heritage institutions (galleries, museums, libraries, archives)

Participants will receive a ‘homework assignment’ in their chosen subject area, to be completed ready for discussion during Day 2.

On Day 2 participants will discuss their completed assignments and attend a plenary session on didactics.

Please note: Participation is required on both days.

Registered participants will then receive information about how to attend the sessions by once they register.

Program of Day 1

Planning to meet the costs of managing research data to be FAIR

Angus Whyte (DCC / FAIRSFAIR)

This session aims to offer training resources to adapt to your institutional context, helping researchers to do the following:

• Understand why they should budget for the costs of making data FAIR, and keeping it FAIR, and include these costs in grant applications
• Appreciate the benefits that services may provide to justify their costs
• Know about the different kinds of data management costs, including costs that funding bodies may allow to be charged to projects
• Apply a costing guide to help budget for the costs that may arise in preparing data to be FAIR
• Share experiences and expectations about costing the preparation of FAIR data

GDPR and Ethical issues in working with social media data

Katrin Weller & Oliver Watteler (GESIS)

Data that can be collected from social media and other web platforms are currently being used as a new type of research data across academic disciplines, for example, to study online communication or to learn about users’ behavior or opinions. While the corresponding research area is growing, a lot of questions also about research methods and potential standards are arising, e.g., about representativeness and reproducibility. But discussions also increasingly focus on concerns about research ethics and data protection. A lot of this is work in progress and only a few standards or best practices for research designs or for documenting and sharing this type of research data exist.

In this session, some of the key challenges related to questions of research ethics with a focus on data protection concerns in the area of social media as research data will be introduced. The session aims at providing some first insights for participants about critical questions when working with this new type of research data and point out useful resources as references.

Dealing with third-party data coming from Cultural Heritage institutions (galleries, museums, libraries, archives)

Kristen Schuster (King’s College London)

The session will start with a short summary of an ongoing research project exploring strategies practitioners and researchers use to communicate and collaborate and, ideally, share data based on mutually understood data management strategies.

Based on this summary, discussion questions for participants will be posed, and the follow up session will focus on collaboratively discussing and exploring RDM practices.

A key goal for this workshop is to present, review and discuss strategies for enhancing communication about data management across disciplines within the DH and cultural heritage communities.

The Catalogue may be particularly useful for early career researchers utilising data that has already collected and researchers less familiar with the mental health field – but it may also hold some surprises for experienced mental health researchers! It is an interactive session, please bring your laptop, IPad or mobile phone so you can try it out!

Overview of the talk

Mental health awareness has been steadily increasing in recent years. Estimates of the extent and adverse impacts of mental health problems underline the urgent need for more research to better understand the causes and the consequences of mental ill health, and to identify the most effective interventions. Existing longitudinal and cohort studies provide unique opportunities to answer key questions related to population mental health and wellbeing. But what has been collected? By who? When? And, how?As part of a CLOSER-funded research project, the Institute of Psychiatry, Psychology & Neuroscience, Kings College London, has developed a searchable catalogue to help people find information about existing measures of mental health and wellbeing in UK cohort and longitudinal studies. The Catalogue of Mental Health Measures compiles and organises information about mental health measures in over 30 (and counting!) UK cohort and longitudinal studies. It features descriptions of the studies and the measures of mental health and wellbeing they have collected, as well as information about statistical resources and training. The catalogue improves the visibility and accessibility of these measures, making it easier for researchers from across different disciplines to make use of the incredibly rich mental health data currently available in the UK’s longitudinal studies

Many studies have initiated additional phases of data collection to examine the impact of COVID-19 and the lockdown on mental health and wellbeing. We have recently updated the Catalogue with new information on those important measures. We will browse the COVID data collection timeline to find information about the mental health data collected by the cohort studies during the pandemic.

Attendees can expect from this webinar to:

• gain a better appreciation of the value of cohort and longitudinal studies for mental health and wellbeing research
• discover new data resources and mental health measures
• learn how to use the Catalogue of Mental Health Measures
• know how to find and access the relevant longitudinal data.

The first 60 minutes of the webinar will be devoted to presentations from Louise Arseneault and Bridget Bryan (Kings College London), and Beate Lichtwardt (UK Data Service), followed by a Q&A session.

If you have any queries or require further information about this event, please contact booking@ukdataservice.ac.uk

The data are stored on a state-of-the-art big data platform at the UK Data Archive, hosted at the University of Essex. From here, accredited UK academic researchers can obtain controlled access to these new forms of data for approved research projects via a secure research portal. All project applications are assessed by a data governance board to ensure that their use of the data complies with SERL’s rigorous data governance and ethical protocols. In the second part of this webinar, researchers from the UK Data Service will outline the accreditation and application process and will provide some hints and tips for how to put together a successful application.

This webinar will be useful for researchers looking to explore this new form of data for energy research, but also will be useful for researchers applying to access other secure data through the UK Data Service who are interested in learning more about the application process.

The webinar will last 40 minutes, with an additional 20 minutes after the presentations for participants to ask questions.

Researchers, publishers, librarians, computer scientists, informaticians, funders, educators, citizens, and others attend the FORCE11 meeting with a view to supporting the realization of promising new ideas and identifying new potential collaborators.

Find out more on the conference website.

• From 22 March 22 to 8 April, attendees will be able to view recorded presentations and submit questions to the author(s) via a discussion forum.
• On 9 April, there will be three live panel discussions on overarching 3MC topics (see list below) at various times throughout the day to accommodate different time zones.
• After each live panel, there will be a virtual social event where you can connect with other attendees.
• The 2021 Workshop is free!

Translation 4.0 - 2021 CDSI Workshop:

This presentation is a part of the session about Survey translation in the digital age.This presentation aimed at all academics and practitioners from the fields of Sociology, Linguistics and Translation Studies, who are interested in international comparable surveys, survey research and methods, translation of questionnaires, and machine translation.

The speaker:

Veronika Keck is a research associate and a communications manager at GESIS – Leibniz Institute for the Social Science in the department Survey Design and Methodology. She is working in the ESS and SSHOC projects on translation process for international surveys. She holds a BA (2014) and MA (2018) in Translation studies and Conference Interpreting (German, Russian, English) from the University of Mainz.

Find out more on the SSHOC website.

More information:

The International Workshop on Comparative Survey Design and Implementation (CSDI) was founded in 2002 in Brussels at a meeting of researchers active in cross-national or cross-cultural survey research. The main goal of CSDI is improving comparative survey design,implementation, harmonization, dissemination analysis. The workshop provides a forum and platform for researchers involved in research relevant for comparative survey methods.

Find out more on the conference website.

This year’s conference will especially focus on the effects and impact of (global) crises and associated societal challenges, such as the Covid-19 pandemic or climate change, to open research practices and science communication in the context of the digitisation of science. And vice versa, how open practices help to cope with crises.

Find out more on the conference website.

You will learn:

How to start the process of depositing data into ReShare

How to describe a data collection well (i.e. what metadata should be provided)

Why providing detailed and accurate metadata is important

How to prepare and upload your data files and documentation files

How to decide upon the most suitable access level and licence for your data

How we review your data before publishing it

After registering, you will receive a confirmation email containing information about joining the webinar.

Presenter: Anca Vlad

We will discuss the key essential processes: of writing a data management plan for research grants; the ethical and legal issues in data sharing and handling confidential information; documenting your data effectively; formatting and organising your data; and, storing your data, including data transfer, encryption, and file sharing.

The webinar will consist of a 40 minute presentation followed by 20 minutes for questions.

Presenter: Anca Vlad

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

Due to Covid-19 we will offer the conference virtually. Every Friday we will have two tracks or mini-conferences, each with its own program.

Highlighting the contribution of survey research to a new normal

Since the start of the Covid-19 pandemic, the world has been adapting to a new normal. Working from home, keeping distance and temporary lockdowns have caused a major shift in what is considered to be a “normal” way of living.

Survey researchers have had to confront a number of challenges to the methods at the heart of their practice. In addition, rapid advances in technology have created a wealth of new opportunities for gathering and combining data. These developments have resulted in new opportunities for methodological research aimed at identifying best practice principles for practitioners and providing recommendations to analysts who work with the data.

The potential offered by new methods to gather data and restrictions due to Covid-19 are redefining the role that surveys play in social research, as well as bringing to light the continued importance and value of the scientific survey method as a tool for understanding society.

ESRA community will continue the conversation about survey research in society online in July 2021.

Deadline: the call for submissions will close on 16 January 16 2021.

Find out more on the conference website.

Registration fees for the GVC will be $30 for IASSIST members and $100 for non-members (with a friendly reminder that membership is only $50, if your colleagues are interested in joining/attending).

Registration will open in March 2021.

There will also be a IASSIST/CESSDA Meeting 2021 held in June-July.

Find out more on the IASSIST2021 website.

The ICTeSSH 2021 online conference aims to bring together leading SSH researchers, computer scientists, informaticians, publishers, librarians, vendors of research ICT tools, SSH decision makers and others, to exchange and share their experiences and research results on all aspects of ICT enhanced Social Sciences and Humanities. In addition, the conference aims to discuss promising new ideas and identify new potential collaborators.

Participation in the conference is free of charge, but registration is mandatory and number of places is limited.

Deadline for registration: 20 June 2021.

Find out more on the conference website.

With the European Commission’s plan for a European Open Science Cloud (EOSC), foundations are being laid to build an ecosystem to enable digital research. One of the core requirements for offering a service in EOSC will be its technical maturity – it must reach an 8 on the 9-step Technology Readiness Level scale, designed by NASA to assess its technology’s space readiness.

In this talk, our Chief Technical Officer, Carsten Thiel, will explain what we at CESSDA, the Consortium of European Social Science Data Archives, do to ensure our technology is designed to build services that meet these maturity requirements. Starting from guidelines and agreement on best practices, automation plays an important role for quality analysis and testing and also provides evidence of this. Investing in the long term objective of sustainability for our cloud native infrastructure plays a fundamental part. At the core, we define repeated software releases – not just one-off demonstrators – with strict quality requirements as the fundamental deliverables that we can later turn into mature services we can reliably provide to our users.

We will show how our model can serve as a blueprint for EOSC and for moving from experimental code to infrastructure that is mature enough to serve its purpose in times of crisis.

Prerequisites:

General familiarity with issues from software development including concepts such as testing and automation as well as project management with limitations in academia are advantageous.

More information:

Find out more on the SORSE website.

What is SORSE? – Series of Online Research Software Events

One of the major strengths of RDA is the global reach of the network. Members come from 145 different countries and plenary meetings rotate around the continents.

Plenary 17 in Edinburgh will focus on the themes of global challenges, global mechanisms for data reuse, sustainable solutions with benefits for all, and global cooperation to realise these ends.

• How do you ensure global participation in the creation, relevance and use of mechanisms (technical and social) for data interchange?
• How can technology lower barriers to uptake - and when might it create barriers?
• What means can we create to overcome non-technical barriers to uptake, be they formal (such as legislation and workflows) or informal, behavioural ones?
• How do RDA values encourage diversity and safeguard the interests of all, rather than favouring privileged groups?
• How can global fora speed up research into crises such as COVID-19, climate change and bio-diversity?

The plenary will highlight several research use cases around global collaboration to address grand challenges and ensure societal impact of data reuse.

More information on timelines will follow in the coming months.
Find out more on the RDA website.

The Digital Curation Centre in collaboration with Jisc and STFC-UKRI will be hosting RDA'S 17th Plenary meeting on 20-22 April 2021 at the Edinburgh International Conference Centre.

RDA P17: Opening data for global challenges

One of the major strengths of RDA is the global reach of the network. Members come from 145 different countries and plenary meetings rotate around the continents.

Designed by European experts to help social science researchers make their data Findable, Accessible, Interoperable and Reusable (FAIR), the guide also supports interdisciplinary research to help tackle global challenges.

The webinar brings multiple perspectives spanning research and data collection, training opportunities and pointers on how to make your own data management plan, added value for Early Career Researchers and Open Science approaches.

Participants will come away with an understanding of its added value and a practical guide on training and implementation of its guiding principles.

Panellists:

• Ricarda Braukmann, DANS
• Patrícia Isabel Martins Miranda, ICS Ulisboa
• Sothearath Seang, Eurodoc

Read more about the panelists on the registration link.

The participatipants will learn about the installation, configuration and operation of Dataverse and Kuha2 as OAI-PMH endpoints, based on real-word experience.

Pre-requisite: Participants should understand the concept of ‘OAI-PMH endpoint’ and be aware that the CESSDA Data Catalogue harvests study level metadata from multiple OAI-PMH endpoints in DDI XML format.

Organisational aspects

The webinar is free of charge and will last 90 minutes. The event is for CESSDA Service Providers and CESSDA Main Office´s staff only.

The format will be question and answer-based, with few (if any) presentations. Attendees will have the opportunity to submit questions as part of the registration process, or during the webinar. Hopefully there will be time to answer them all on the day.

The organisers will do their best to make a transcript of the questions and answers so they can be used as a resource, and consulted as required.

Panelists

Panelist 1: Toni Sissala (FSD)

Panelist 2: Alina Danciu

Panelist 3: Baptiste Rouxel (PROGEDO Sciences Po)

Panelist 4: Laura Huis in ‘t Veld (DANS-KNAW)

Panelist 5: Ricardo Pereira (APIS)

Panelist 6: Patricia Miranda (APIS)

Panelist 7: Irena Vipavc Brvar (ADP)

This session is more conceptual than many of our other webinars, which are more suited to those who want a more practical introduction to our data.

The webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

In order to follow the content of the webinar attendees should already be familiar with the basic methods of qualitative or quantitative data research.

Presenter: Patty Doran

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

The webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

Presenter: Emily Durrant

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

The webinar will consist of a 35 minute presentation followed by 20 minutes for questions.

Presenter: Madi Jones

Collectively these data cover all countries, some stretching as far back as 1948. Most of these data are annual data, but there are also some monthly and quarterly data. This valuable resource allows researchers to compare countries, or track a country's progress over time.

The webinar will provide:

An overview of the international data

Key issues in using the data

A demo of our interface

The chance to ask questions

The session will consist of a 30 minute presentation followed by 20 minutes for questions.

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

The one hour meeting will be kicked-off by short lightning talks from infrastructure members. This is followed by a chance to discuss the points brought up in the introductions and to possibly go beyond.

Possible topics for discussion:

• Servers vs Containers
• Serverless
• Infrastructure as code / GitOps
• On-demand provision
  • Terraform environment to match feature-branches

The one hour meeting will be kicked-off by short lightning talks from infrastructure members. This is followed by a chance to discuss the points brought up in the introductions and to possibly go beyond.

Possible topics for discussion:

• Metrics gathering
• Logs collecting
• Tracing problems with them
  • Statistics on metrics?
  • Correlation IDs
• Alerting based on these sources

The one hour meeting will be kicked-off by short lightning talks from infrastructure members. This is followed by a chance to discuss the points brought up in the introductions and to possibly go beyond.

Possible topics for discussion:

• Documentation as code
  • Plain texts, markdown etc.
  • Generating and deploying static sites
  • Generating PDF versions
• Reusing/converting existing content
  • Conversion from common formats (Word, HTML, PDF etc)
  • Auto-embedding markup (for ToC/other navigation)
• Versioning documentation
  • Matching product release version
  • Supporting multiple concurrent versions (e.g. APIs)

The one hour meeting will be kicked-off by short lightning talks from infrastructure members. This is followed by a chance to discuss the points brought up in the introductions and to possibly go beyond.

Possible topics for discussion:

• Code Quality practices
  • Linting, style guides, languages/libraries
• Automation methods and purposes
  • Code workflows vs deployment workflows
• Test methods and coverage
  • How to do Integration/End-to-End tests against real systems?

• introduces key data sources including CESSDA and European data archives,
• discusses tools and strategies for finding data,
• covers how to assess the quality and usefulness of data, and
• explains key information about licenses and conditions of access.

This session is open to all Essex Summer School session one participants.

The webinar will cover:

• An overview of key features of qualitative data and where our data come from
• Some examples of UK and international qualitative data and how they have been used
• Some key issues when using qualitative data
• Access conditions and getting further help

This webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

Presenter: Maureen Haaker

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

The webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

Most of these studies can be downloaded after a short registration. They are extremely rich data sources for high impact and policy relevant research. Further, subsamples of some of these datasets are available for teaching purposes.

The webinar will cover:

• The key features of longitudinal surveys
• An outline of the key longitudinal/cohort studies we hold and the policy relevance of the information they contain
• Access information and how to get further help and support

The webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

Presenter: Beate Lichtwardt

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

This webinar will cover:

• An overview of UK and cross-national microdata available from the UK Data Service
• Key features of some of our most commonly used surveys: Quarterly Labour Force Survey, British Social Attitudes Survey, Health Survey for England and the Eurobarometer surveys
• Access conditions and getting further help

The webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

Presenter: Jennifer Buckley

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

Programme

Participants will work in small teams alongside different experts from other organisations, including data producers, policymakers and charities, and will be able to link with other related datasets, to find new areas of research interest.

The challenge: What do we know and what do we still need to ask about COVID-19 and its social and economic impacts on society?

How can we utilise the data resources to learn and discover themes and ideas for next steps.

During the Data Dive, participants will:

• learn about the UK Data Service collection of COVID-19 data
• utilise and explore the major COVID-19 studies
• gain insights from the data providers and policy experts
• gain practical experience of manipulating data
• examine themes and explore new research questions
• present findings as a team
• examine outcomes and future research opportunities

Please submit details via the expression of interest form.

Successful applicants will be sent a registration link to book. Once registered, you will receive an email with joining instructions and the Zoom link to attend the event.

1. Which topic(s) would you like to examine with the data? Please provide 2-3 sentences about your area of interest.

2. Which categories best represent your skills?

• data wrangler: you understand how to manage and interpret the data to create graphs and data visualisations
• ideas person: you ask pertinent questions and formulate ideas for next steps
• coder: you are comfortable coding in various languages such as Python and R
• data expert: you understand how to manage data and run and interpret statistical analysis, using R, Python, Stata, or other common data analysis tools
• policy expert: you are an expert in social and/or economic policy and use the data to bring expert voices into the policymaking process
• voluntary sector: you have an invested knowledge base of the subject matter

More information

Talk to the experts: During the day there will be a chance to talk to the experts from each of these major studies.

Target audience: This Data Dive is aimed at researchers, data analysts, policymakers, charities, coders and Service users with special interest in the benefit system, social care, housing policy and the charity sector. Those not working directly with data are welcome; data specialists from the UK Data Service, Understanding Society, UCL Centre for Longitudinal Studies and University of Kent will be on hand to discuss the data.

Experience/knowledge required: Participants should have basic experience of quantitative analysis using a statistics package OR have an invested knowledge base of the subject matter. If you are not yet UK Data Service users, participants will need to register with the UK Data Service before the start of the event to access the data. This is in addition to registering for the event.

The event is jointly organised by the UK Data Service, Understanding Society, UCL Centre for Longitudinal Studies (CLS) and the Welfare at a (Social) Distance research project; all UK Research Innovation programmes.

For any enquiries please email comms@ukdataservice.ac.uk.

14 September: Second session - SKOSMOS
In this session of the series you will get acquainted with SKOSMOS, a web-based tool providing services for accessing controlled vocabularies, which are used by indexers describing documents and searchers looking for suitable keywords. Vocabularies are accessed via SPARQL endpoints containing SKOS vocabularies.

30 September: Third session - CESSDA Vocabulary Service
In this information session, you will learn about the CESSDA Vocabulary Service that enables users to discover, browse and download controlled vocabularies in a variety of languages. The service is provided by the Consortium of European Social Science Data Archives (CESSDA).

Click here for more information.

The material from this webinar (video recording and slides) can be downloaded here. The recording of the webinar is also available on YouTube.

In this information session, you will learn about the CESSDA Vocabulary Service that enables users to discover, browse and download controlled vocabularies in a variety of languages.

The majority of the source (English) vocabularies included in the service have been created by the DDI Alliance. The Data Documentation Initiative (DDI) is an international standard for describing data produced by surveys and other observational methods in the social, behavioural, economic, and health sciences.

The programme is suitable for academic or industry professionals who operate, integrate and manage vocabulary platforms, such as librarians, information specialists, knowledge management engineers, etc.

Find out more about the sessions on the CLARIN website.

Registration

Please register for the online info sessions you would like to attend using this Registration form. In case you are not able to join, you will be able to access the presentations and the recordings later.

Details:

Level: Intermediate, for individuals with some prior knowledge of social network concepts and data

Duration: 45 minutes, followed by questions

Pre-requisites: The following webinars cover necessary background knowledge and skills:

- Social Network Analysis: Basic Concepts

- Social Network Analysis: Getting and Marshalling Data

Audience: Researchers and analysts from any disciplinary background interested in employing network analysis for social science research purposes

Programming language: Python

Materials: Participants will have access to an interactive online notebook through which they can replicate the analysis using Python

Learning outcomes: Understand a range of basic and intermediate analytical methods for use with social network data and be able to use Python for analysing social network data

This free webinar, organised by the UK Data Service, is the second in a series of three on understanding and using SNA methods for social science research purposes. In this webinar we demonstrate how to collect and clean social network data. In particular, we draw on two sources of social network data:

The social media platform Twitter, which allows restricted access to some of its data through an Application Programming Interface (API)

Administrative data on UK charities, which is publicly available and can be repurposed for social network analysis

As a result of attending this webinar, participants will understand the steps necessary for collecting, cleaning and reshaping data for social network analysis.

Details:

Level: Introductory, for individuals with no prior knowledge or experience of social network analysis

Duration: 45 minutes, followed by questions

Pre-requisites: The following webinars cover useful background knowledge and skills:

- Social Network Analysis: Basic Concepts

- APIs as a Source of Data

Audience: Researchers and analysts from any disciplinary background interested in employing network analysis for social science research purposes

Programming language: Python

Materials: Participants will have access to an interactive online notebook through which they can practice collecting and cleaning social network data using Python

Learning outcomes: Understand the main steps in collecting, cleaning and reshaping data for social network analysis and be able to use Python for working with social network data

This free webinar, organised by the UK Data Service, is the first in a series of three on understanding and using SNA methods for social science research purposes. In this webinar we cover the fundamental concepts and terms underpinning SNA, and demonstrate how network data is structured and differs from more traditional social science datasets (e.g. social surveys). We will also outline a simple analysis of social network data using the Python programming language. As a result of attending this webinar, participants will possess the necessary knowledge and vocabulary to undertake a SNA research project.

Details:

Level: Introductory, for individuals with no prior knowledge or experience of social network analysis

Duration: 45 minutes, followed by questions

Pre-requisites: None

Audience: Researchers and analysts from any disciplinary background interested in employing network analysis for social science research purposes

Programming language: Python is used to examine the structure of social network data and to perform a simple analysis

Materials: Participants will have access to an interactive online notebook through which they can learn more about SNA and execute Python code

Learning outcomes: Understand fundamental concepts and terms associated with SNA and understand how social network data are structured

Led by Dr Diarmuid McDonnell and Dr Julia Kasmire of the UK Data Service, September’s demonstrations address the following topics:

Importing text data and basic preparations – 02 September 2020 @ 4pm (17 CET)

Basic Natural Language Processing – 16 September 2020 @ 4pm (17 CET)

Training a classifier for sentiment analysis – 23 September 2020 @ 4pm (17 CET)

Extracting named entities and creating a social network – 30 September 2020 @ 4pm (17 CET)

Each code demo works through coding examples line-by-line, explaining the logical and programmatic aspects of the methods being demonstrated. During each session you will be able to run the code yourself in real time without any installation on your machine. Each demonstration uses the popular Python programming language and lasts for roughly 30 minutes, followed by up to 30 minutes for Q&A and other interaction.

The link to join these sessions will be sent by email before the first event.

This series is part of a wider training programme on new forms of data for social science research

Additionally, each lecture is recorded and posted to our YouTube channel: 2020 Blalock Lecture Series Playlist

The schedule for the 2020 Summer Program Blalock Lecture Series:

July 9: "Why So Many Death Sentences Come from So Few Counties: A Theory of Racial Threat, Lynching, and Inertia" - Frank Baumgartner, University of North Carolina

July 14: "Privacy Considerations In the Use of Administrative Data" - Dani Hochfellner, New York University

July 15: "The ISR Program for Research on Black Americans and Archived Data at ICPSR" - Robert Taylor, University of Michigan; David Thomas, University of Michigan

July 16: "Surveying Voters on Election Day: Methodological Issues in Exit Polling" - Dan Merkle, ABC News

July 21: "Choices and Challenges in Pre-election Polling" - Scott Keeter, Pew Research Center

July 22: "Research Developments in the Study of Racialized Resentment" - David Wilson, University of Delaware

July 23: "Detroit Metropolitan Area Community Study and Archived Data at ICPSR" - Jeff Morenoff, University of Michigan; Liz Gerber, University of Michigan; Lynette Hoelter, University of Michigan

July 28: "The American National Election Study and Archived Data at ICPSR" - Vincent Hutchings, University of Michigan; David Thomas, University of Michigan

July 29: "Citizen Forecasting: The Formation of Voter Expectations and Their Aggregate Accuracy" - Mary Stegmaier, University of Missouri

July 30: "Preparing to Teach for the First (or Second) Time" - Lynette Hoelter, University of Michigan; Esther Wilder, Lehman College; Andrea Benjamin, University of Oklahoma

August 4: "Statistical Models of Election Outcomes" - Andrew Gelman, Columbia University

August 5: "Health Disparities across the Life Cycle" - DeAnnah Byrd, Wayne State University

August 6: "Non-Academic Career Opportunities for PhDs" - Natalie Jackson, Public Religion Research Institute

August 11: "The Chitwan Valley Family Study and Archived Data at ICPSR" - Bill Axinn, University of Michigan; Lynette Hoelter, University of Michigan

August 12: "A Quantitative Intersectional Approach to Examining Risk and Resilience among Young Black Men" - Lloyd Talley, University of Michigan

August 13: "Data Stewardship in the Digital World" - Libby Hemphill, University of Michigan

They are presented in the evening from 7:30 to 9 p.m. EDT.

More information: https://www.icpsr.umich.edu/icpsrweb/sumprog/

The webinar will consist of 45 minutes of presentations and 15 minutes for questions.

O Data Management Expert Guide é um guia desenhado para investigadores na área das ciências sociais, no sentido de tornarem os dados dos seus projetos de investigação FAIR (Findable, Accessible, Interoperable and Reusable): Para consulta: https://www.cessda.eu/Training/Training-Resources/Library/Data-Management-Expert-Guide.

Programme:

10:00-10:30 Introduction: goals and participants

10.30-11.30 The data life cycle and DMP

11.30-12.30 DMP in practice: DMP questions quantitative date

12.30-14 Lunch

14.00-15.00 DMP exercise

15.00-16.00 DMP models: discussion and systematization

16.00-16.15 Coffee break

16.15-17.00 Workshop debate and evaluation

The presentation given by Miranda, Patricia, & Mouro Ferreira, Pedro "Training workshop on the Data Management Expert Guide" is now available for download.

10:00-10:10 Welcome and short presentation

10:10- 10:30 What can RDA do for you? Networks, Working Groups, Interest Groups. Karsten Kryger, Aaalborg University

10:30 -10:50 What are the Infrastructures CESSDA and CLARIN and how do they support you? Lea Sztuk Haahr and Lene Offersgaard, Danish National Archives & Copenhagen University

10:50- 11:10 Social science data for re-use provided by the Danish National Archives. Lea Sztuk Haahr, Danish National Archives

11:10-11:20 Break

11:20-11:35 Public data for re-use, senior researcher Steen Andersen, Danish National Archives

11:35-11:50 Linked Lives – ambitious research project on historical demography (life course analysis) based on data from the Danish National Archives Ph.D. Barbara Revuelta-Eugercios, Danish National Archives and Copenhagen University.

11:50-12:05 Easier access to research data: more examples. Lene Offersgaard, Copenhagen University

12:05-12:25 Q & A. Lea Sztuk Haahr and Lene Offersgaard, Danish National Archives & Copenhagen University

12:25-12:35 Local RDM support and DK-RDA support. Anne Sofie Fink et al., Danish National Archives

12:35-13:00 Sandwiches and networking, end of program.

The CESSSDA presentation of this event is available here: https://zenodo.org/record/3861037#.XtB-ADpKg2w

The programme is available here.

During the workshop, CESSDA members gave presentions on Data management and planning for open science and
Ethical considerations around data sharing (now available for download).

COVID-19: The Program Committee has decided in view of the uncertain situation with COVID-19, to go ahead with this Conference, but to hold it virtually. Further details of this will be posted,through the DDI Users list (sign up) and on Twitter @DDIAlliance as well as the Conference website.

Updates will be posted here and through the DDI Users list (sign up) and on Twitter @DDIAlliance.

The Data Documentation Initiative (DDI) is an international standard for describing the data produced by surveys and other observational methods in the social, behavioral, economic, and health sciences.

This free webinar, organised by the UK Data Service, is the third in a series of three on understanding and using text-mining methods within social science research contexts.

The first webinar covers the concepts behind fully structured and semi-unstructured data, the theory behind capturing and amplifying existing structure, and the four basic steps involved in any text-mining project.

Webinar two dives into the steps needed to do some of the most common text-mining analyses and will be accompanied by an online interactive notebook that allows participants to see, edit and execute the demonstrated code.

Slides and recordings of UK Data Service webinars are made available on our past events pages and YouTube channel soon after the event has taken place.

This free webinar, organised by the UK Data Service, is the first in a series of three on understanding and using text-mining methods within social science research contexts.

Webinar two will dive into the steps needed to do some of the most common text-mining analyses and will be accompanied by an online interactive notebook that allows participants to see, edit and execute the demonstrated code.

Webinar three then rounds off the series by diving into the concepts behind more advanced text-mining analyses, presenting some sample code that participants may find useful, and introducing some work that provides further learning opportunities. This webinar will also be accompanied by an online interactive notebook that allows participants to see, edit and execute the demonstrated code.

Slides and recordings of UK Data Service webinars are made available on our past events pages and YouTube channel soon after the event has taken place.

This free webinar, organised by the UK Data Service, is the second in a series of three on understanding and using text-mining methods within social science research contexts.

The first webinar covers the concepts behind fully structured and semi-unstructured data, the theory behind capturing and amplifying existing structure, and the four basic steps involved in any text-mining project.

Webinar three rounds off the series by diving into the concepts behind more advanced text-mining analyses, presenting some sample code that participants may find useful, and introducing some work that provides further learning opportunities. This webinar will also be accompanied by an online interactive notebook that allows participants to see, edit and execute the demonstrated code.

Slides and recordings of UK Data Service webinars are made available on our past events pages and YouTube channel soon after the event has taken place.

The workshop is structured in plenary sessions with lectures and discussions and break out groups to work on four different use cases.

Objectives of the workshop & hackathon:

• Learn about FAIR and open data practices in the energy and other research communities;
• Choose selected databases to be investigated in use cases. Discuss and summarize the reasons for selection.
• Analyze the state of FAIR/O principles for the selected database (with the help of the questionnaire and FAIR/O assessment tools).
• Evaluate the state of FAIR/O principles for the metadata of selected databases.
• Suggest general principles for the design of metadata (use-case- and domain-specific),
• Discuss top-level metadata adhering to FAIR/O principles (use-case- and domain-specific),
• Learn about the FAIRification of Data Management Plans (DMP).

A detailed agenda is available EERAdata WIKI.

Register:

Register here.

The EERAData project website is being launched ahead of the workshop.

The slides and recording from CESSDA Webinar on Archiving Social Media Data are now available at http://doi.org/10.5281/zenodo.3875963.

The video is also available for viewing on CESSDA Training YouTube Channel.

Drawing on recent experiences of three UK studies (British Social Attitudes 2015, the Understanding Society Innovation Panel 2017 (IP10) and the NatCen Panel July 2017) we will explore issues around informed consent, disclosure, security, and archiving.

The workshop will be interactive with a focus on participant engagement and dialogue. This workshop is supported by CESSDA.

The material from the workshop (slides and video) is available for download. The video is also available for viewing on YouTube.

If you are a postgraduate looking for a project to do this summer that doesn’t involve face-to-face contact, or an undergraduate student trying to evaluate options for next year’s dissertation, this webinar will give you options to ensure you get valuable research experience during your degree.

This is an introductory webinar which assumes no prior experience of using archived data.

Presenter: Maureen Haaker

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

We will hear first from Professor Irina Tomescu-Dubrow, who will discuss methodology that the Survey Data Recycling Project develops to harmonize ex-post data pooled from cross-national survey projects in the social sciences.

Then, Dr Kristi Winters will address how we should approach documenting data harmonisation work, including a description of CharmStats , an open-source software that enables researchers to simultaneously perform and document the process of variable coding and harmonization.

The 1-hour session will include presentations, case studies, and a chance to ask questions.

About the Speakers:

Irina Tomescu-Dubrow is Professor of Sociology at the Institute of Philosophy and Sociology, Polish Academy of Sciences. https://irinatomescudubrow.wordpress.com/

Dr Kristi Winters works at the Department of Data Archive for the Social Sciences, GESIS - Leibniz-Institute for the Social Sciences.

Target audience: researchers interested in comparative/cross-national research (with a primary interest in European survey data).

Material from this webinar (video and presentation) is available for download. This video will be available for viewing on Youtube.

Find out more and register on the SSHOC website.

About the webinar series: getting data, storing data, manipulating data

All projects need data. You can generate it yourself via surveys or you can get some from the UK Data Service. If you didn’t generate it yourself, the chances are it is not quite what you wanted but you can adapt it to your needs. You can adapt the data by a variety of means; cleaning the data, extracting parts of the data (and ignoring the rest) and, trickiest of all, joining data from different sources.

This series of three webinars will cover ways of dealing with these data issues using both familiar software tools such as Excel and others that you may be aware of but may not have had any direct experience of.

In the first webinar we will look at SQL and Databases: useful for storing large data (100’s of GB or even more) and using simple SQL queries to retrieve only the items you want, possibly across more than one dataset.

In the second webinar we will look at various means of getting data from the Internet: this might range from simple copy and paste through to systematic data downloads from datasets or scraping specific items from 100’s of similar web pages.

The third webinar will look at the new functionality available in the later versions of Excel: Power Pivot to break the 1M rows problem and making dataset joins much easier, and the latest dynamic array functions which can simplify many common tasks.

Join our interactive online webinar, where we will ‘walk’ you through the process of submitting a data collection into the ReShare repository. We will then answer any questions you may have about ReShare and depositing your data with us.

You will learn:

• How to start the process of depositing data into ReShare
• How to describe a data collection well (i.e. what metadata should be provided)
• Why providing detailed and accurate metadata is important
• How to prepare and upload your data files and documentation files
• How to decide upon the most suitable access level and licence for your data
• How we review your data before publishing it

After registering, you will receive a confirmation email containing information about joining the webinar.

Presenter: Anca Vlad

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

We will discuss the key essential processes: of writing a data management plan for research grants; the ethical and legal issues in data sharing and handling confidential information; documenting your data effectively; formatting and organising your data; and, storing your data, including data transfer, encryption, and file sharing.

The webinar will consist of a 40 minute presentation followed by 20 minutes for questions.

Presenter: Anca Vlad

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

This session is more conceptual than many of our other webinars, which are more suited to those who want a more practical introduction to our data.

The webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

In order to follow the content of the webinar attendees should already be familiar with the basic methods of qualitative or quantitative data research.

Presenter: Patty Doran

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

The webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

Presenter: Madi Jones

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

The webinar will consist of a 35 minute presentation followed by 20 minutes for questions.

Presenter: Emily Durrant

Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.

Since research increasingly relies on software which is used to model and simulate, and to deal with the ever growing volume of research data, the course will also introduce FAIR software practices.

You'll learn to establish links between publications, data, software and methods, how to attach a persistent identifier and metadata to your results, and methods for clarifying usage rights. You will also discover ways to apply these principles to your daily research and adapt existing routines. Finally, you'll uncover potential barriers to sharing research and discuss possible solutions.

This course will help you grasp the key principles of Open Science, with answers to questions like:

• How can researchers effectively store, manage, and share research data?
• What kinds of open access publishing are most effective?
• How can researchers increase the visibility and impact of their research?
• How can the use of social media contribute to the visibility and impact of research?
• How can researchers be acknowledged for the research software they write?

You will apply the topics of the course to a variety of case studies on Open Science adoption, which you will then discuss among fellow students. You will also be presented with a hands-on guide to publishing your research with open access. This will help you to apply Open Science principles in your daily work. It will enable you to implement and benefit from the Open Science policies that are currently being developed by governments and research institutions.

This course is aimed at professionals. Those who will see the most benefit include academic researchers at different levels: PhD students, postdoctoral researchers, and professors; researchers working for governments; researchers working for commercial enterprises; MSc and BSc students interested to learn about the principles of Open Science.

Read the full Syllabus of the course.

The MOOC was developed by TU Delft Library together with the TU Delft Faculty of Technology, Policy and Management and with ICT-Innovation. The course is open to anyone and is completely free, so please forward this e-mail to all people in your network who might be interested.

The development of this course is supported by the VRE4EIC project with funding from the European Union's Horizon 2020 Research and Innovation Programme.

Please post questions in the registration form. You will also be given the opportunity to post questions to the chat box at any time of the live event. We will try to address them at the end of the webinar.

Further information:

Agenda

1) Introduction to the CESSDA Metadata Office and MDO services

2) The CESSDA Metadata Model (general information, changes between CMM v0.1 and CMM v1.0, MDO’s efforts to facilitate the provision of quality metadata)

3) Questions and Answers

If you would like to take a peek at the CESSDA Metadata Model (CMM), you can find all versions using this link: https://doi.org/10.5281/zenodo.3236171

Material from this webinar is now available: http://doi.org/10.5281/zenodo.3776809. The video is available for viewing also on YouTube.

• Learn about the conceptual reasoning to combine quantitative and qualitative research practice when working with large-scale corpora.
• Discover a novel approach to how graphical user interfaces and dashboards that implement “quanlitative” workflows can be assembled using the modular design of the “quanlify”framework.
• Discuss how implementing workflows that combine quantity and quality can become as accessible as possible for text-oriented researchers without advanced programming skills.

Find out more and register on the SSHOC website.

This free webinar, organised by the UK Data Service, is the third in a series of three on how to collect data from the web using computational methods. Specifically, this webinar delineates the value, logic and process of capturing data stored in online databases through an API (application programming interface). Presented by Dr Diarmuid McDonnell of the UK Data Service, this webinar will cover the step-by-step process of downloading data via an API, including providing sample code written in the popular Python programming language. It demonstrates techniques for downloading public information on the Covid-19 pandemic, as well as for a range of other social science subjects (e.g., crime data via the Police UK API, business information via the Companies House API).

Webinar one, on 27 March, will provide an example of a published piece of social research that utilised web-scraping techniques to generate a novel, linked administrative dataset to evaluate a regulatory intervention.

Webinar two, on 23 April, will demonstrate how to scrape information from web pages using the Python programming language.

There is also a parallel webinar series focusing on getting, storing and manipulating data that illustrates a variety of complementary techniques for collecting data from the web.

This free webinar, organised by the UK Data Service, is the second in a series of three on how to collect data from the web using computational methods. Specifically, this webinar delineates the value, logic and process of capturing data stored on websites. Presented by Dr Diarmuid McDonnell of the UK Data Service, this webinar will cover the step-by-step process of collecting data from a web page, including providing sample code written in the popular Python programming language. It demonstrates web-scraping techniques for capturing real-time information on the Covid-19 pandemic, as well as for the author’s own research specialism (charitable organisations).

Webinar one, on 27 March, will provide an example of a published piece of social research that utilised web-scraping techniques to generate a novel, linked administrative dataset to evaluate a regulatory intervention.

Webinar three, on 30 April, will demonstrate how to use application programming interfaces (APIs) to download data from the web, again using the Python programming language.

There is also a parallel webinar series focusing on getting, storing and manipulating data that illustrates a variety of complementary techniques for collecting data from the web.

All projects need data. You can generate it yourself via surveys or you can get some from the UK Data Service. If you didn’t generate it yourself, the chances are it is not quite what you wanted but you can adapt it to your needs. You can adapt the data by a variety of means; cleaning the data, extracting parts of the data (and ignoring the rest) and, trickiest of all, joining data from different sources.

This series of three webinars will cover ways of dealing with these data issues using both familiar software tools such as Excel and others that you may be aware of but may not have had any direct experience of.

In the first webinar we will look at SQL and Databases: useful for storing large data (100’s of GB or even more) and using simple SQL queries to retrieve only the items you want, possibly across more than one dataset.

In the second webinar we will look at various means of getting data from the Internet: this might range from simple copy and paste through to systematic data downloads from datasets or scraping specific items from 100’s of similar web pages.

The third webinar will look at the new functionality available in the later versions of Excel: Power Pivot to break the 1M rows problem and making dataset joins much easier, and the latest dynamic array functions which can simplify many common tasks.

We would like to discuss with potential interested Service Providers what their ideas are about such a service:

• Would service providers like to use the SSHOC Dataverse, when available?
• What are their requirements?
• How much localization is needed?
• Would they like to use a central service in the cloud or an installation on their own institutional environment?

The webinar starts with a presentation of the current functionality, followed by a presentation of new features to be developed. After these presentations we will collect input from the audience. The discussion will focus on essential requirements for such a service, preferences, organisation, necessary training.

The webinar will be chaired by Marion Wittenberg, service manager of DataverseNL at Data Archiving and Networked Services (DANS), together with her colleagues Laura Huis in ‘t Veld, functional manager, and Vyacheslav Tykhonov, Information Scientist.

Participation is - in principal - by invitation only. Please contact marion.wittenberg[at]dans.knaw.nl if you would like to join.

A similar webinar for DARIAH, CLARIN and E-RIHS institutes will be organized later on.

The webinar will focus on:

• key features of the British Election Studies, examples of research uses and how to access the data
• using Understanding Society for research into political behaviour, including key features, research use cases and access
• other useful data sources for exploring political behaviour in the UK

The webinar will consist of 45 minutes of presentations and 15 minutes for questions. The webinar is suitable for both new and experienced researchers.

If you have any queries or require further information about this event, please contact Dr Sarah King-Hele (sarah.king-hele@manchester.ac.uk).

Other webinars in the series

This webinar is one of a series of webinars about data available for research: “ESRC data resources: Discovering data and how to use them”. Each webinar focuses on a different research topic:

Religion: 18 March 2020

Language spoken: 25 March 2020

Mental health: Monday 9 December 2019 - recording available.

Recordings from the webinar series run in March and April 2019 about data for research on Journey to work; Ethnicity and migration; Obesity; and Education can be found on the UK Data Service and CLS web pages.

ESRC data resources collaboration

The webinar series is the result of a collaboration between a number of ESRC-funded resource centres working together to promote the value and use of social science data.

The collaboration is made up of several organisations, including: CeLSIUS, NILS_RSU, SLS-DSU, CLOSER, Understanding Society, the Centre for Longitudinal Studies (CLS), AQMeN, the UK Data Service, the National Centre for Research Methods (NCRM), and the three ESRC-funded big data centres; the Urban Big Data Centre (UBDC), ESRC Business and Local Government Data Research Centre (BLG) and Consumer Data Research Centre (CDRC).

Presented by Professor Alasdair Rutherford of the University of Stirling, this webinar will cover the process of scraping data about charities, practical and ethical implications, and the advantages and disadvantages of using this form of data for social science research more generally.

Webinar two, on 23 April, will provide substantive and coding examples of how to scrape data using the Python programming language.

Webinar three, on 30 April, will demonstrate how to use application programming interfaces (APIs) to download data from online databases, again using Python.

There is also a parallel webinar series focusing on getting, storing and manipulating data that illustrates a variety of complementary techniques for collecting data from the web.

Slides and recordings of UK Data Service webinars are made available on our past events pages and YouTube channel soon after the event has taken place.

This free webinar, organised by the UK Data Service, will explain various different database environments and storage regimes and show you how easy it can be to start retrieving data using standard SQL queries.

About the webinar series: getting data, storing data, manipulating data

All projects need data. You can generate it yourself via surveys or you can get some from the UK Data Service. If you didn’t generate it yourself, the chances are it is not quite what you wanted but you can adapt it to your needs. You can adapt the data by a variety of means; cleaning the data, extracting parts of the data (and ignoring the rest) and, trickiest of all, joining data from different sources.

This series of three webinars will cover ways of dealing with these data issues using both familiar software tools such as Excel and others that you may be aware of but may not have had any direct experience of.

• In the first webinar we will look at SQL and Databases: useful for storing large data (100’s of GB or even more) and using simple SQL queries to retrieve only the items you want, possibly across more than one dataset.
• In the second webinar we will look at various means of getting data from the Internet: this might range from simple copy and paste through to systematic data downloads from datasets or scraping specific items from 100’s of similar web pages.
• The third webinar will look at the new functionality available in the later versions of Excel: Power Pivot to break the 1M rows problem and making dataset joins much easier, and the latest dynamic array functions which can simplify many common tasks.

This will be followed by Dr Oliver Duke-Williams, UCL, who will talk about a question asked for the first time in the 2011 Censuses - that of main language spoken (and of proficiency in English) - and about long-running questions on ability to speak, read and write Welsh, Scots, Scottish Gaelic and Irish and Ulster-Scots. The talk will cover what data are available and how they can be accessed, how researchers can use them and what they show.

The third speaker, Dr Jemima Stockton, UCL, will focus on questions about language in the census longitudinal studies and how people can use and access these data, and changes over time in speakers of different languages.

The webinar will consist of 45 minutes of presentations and 15 minutes for questions.

The webinar is suitable for both new and experienced researchers. The data discussed in the first two parts of this webinar are available for anyone to use while the census longitudinal studies data are accessed via a safe room and are only available to researchers based in the UK.

If you have any queries or require further information about this event, please contact Dr Oliver Duke-Williams (o.duke-williams@ucl.ac.uk)

Other webinars in the series

This webinar is one of a series of webinars about data available for research: “ESRC data resources: Discovering data and how to use them”. Each webinar focuses on a different research topic:

Political behaviour: 1 April 2020

Religion: 18 March 2020

Mental health: Monday 9 December 2019 - recording available

Recordings from the webinar series run in March and April 2019 about data for research on Journey to work, Ethnicity and migration, Obesity, and Education can be found on the UK Data Service and CLS web pages.

ESRC data resources collaboration

The webinar series is the result of a collaboration between a number of ESRC-funded resource centres working together to promote the value and use of social science data.

The collaboration is made up of several organisations, including: CeLSIUS, NILS_RSU, SLS-DSU, CLOSER, Understanding Society, the Centre for Longitudinal Studies (CLS), AQMeN, the UK Data Service, the National Centre for Research Methods (NCRM), and the three ESRC-funded big data centres; the Urban Big Data Centre (UBDC), ESRC Business and Local Government Data Research Centre (BLG) and Consumer Data Research Centre (CDRC).

This will be followed by talks about the decennial censuses which have included optional questions on religion since 2001 (and for a longer period in Northern Ireland). Dr Aly Sizer, UCL, and Dr Tom Clemens, University of Edinburgh, will present on the ONS Longitudinal Study and the Scottish Longitudinal Study respectively, explaining:

what questions were asked, and what data they have produced

how researchers can use and access the data

how religion changes over time for individuals, and other areas that researchers have studied

The webinar will consist of 45 minutes of presentations and 15 minutes for questions.

The webinar is suitable for both new and experienced researchers but please note that the census data discussed in the second part of the webinar are accessed via a safe room and are only available to researchers based in the UK.

The webinar starts at 16 (CET).

If you have any queries or require further information about this event, please contact Dr Aly Sizer a.sizer.11@ucl.ac.uk

Other webinars in the series

This webinar is one of a series of webinars about data available for research: “ESRC data resources: Discovering data and how to use them”. Each webinar focuses on a different research topic:

Political behaviour: 1 April 2020

Languages spoken: 25 March 2020

Mental health: Took place on 9 December 2019 - view the slides and recording

Recordings from the webinar series run in March and April 2019 about data for research on Journey to work; Ethnicity and migration; Obesity; and Education can be found on the UK Data Service and CLS web pages.

ESRC data resources collaboration

The webinar series is the result of a collaboration between a number of ESRC-funded resource centres working together to promote the value and use of social science data.

The collaboration is made up of several organisations, including: CeLSIUS, NILS_RSU, SLS-DSU, CLOSER, Understanding Society, the Centre for Longitudinal Studies (CLS), AQMeN, the UK Data Service, the National Centre for Research Methods (NCRM), and the three ESRC-funded big data centres; the Urban Big Data Centre (UBDC), ESRC Business and Local Government Data Research Centre (BLG) and Consumer Data Research Centre (CDRC).

Find out more on the GESIS website.

Find out more on the GESIS website.

You can find an overview of the meeting's programme for each day on the SSHOC website.

The participants are expected to present their work and discuss the topics related to gaps, collection, limitations, quality and development of international migration data and theories. Nevertheless, the applications are not limited to the above-mentioned topics, experts of other disciplines who want to tackle the issue of gap in migration data and theories from a different perspective are also welcomed to submit their applications.

Guide for applicants

Deadline for submission: 15 June 2020

Find out more on the workshop website.

During the workshop, we will look at how migration survey data can be prepared and processed before dissemination, how transparency, availability, accessibility and replicability of data can be improved and what resources and services offered through Social Sciences and Humanities Open Cloud (SSHOC) could be useful in this sense. To the same end, we will use examples of data already available from the EMM (Ethnic and Migrant Minorities) Survey Registry and the UK Data Service catalogue. The workshop will end with an exercise evaluating data and metadata FAIRness.

Following the workshop there will be space and time during coffee breaks and lunch for additional activities such as a Demo of QAMyData (an open source tool designed by UKDS to check survey and numeric data) or creating a mock data deposit in ReShare, the UKDS self-deposit repository. It will also be possible to get more information about SSHOC resources and training activities.

Find out more on the SSHOC website.

The webinar will consist of a 15 minute presentation, followed by 10 minutes for questions.

• Tom Emery will present work conducted by the GGP on capturing audio data through existing survey software in online interviews, and will provide initial evaluations of data quality.
• Henk van den Heuvel from the Oral History team will then detail the tools used for analysis of Oral History data which could be adapted for analysis of survey interviews.
• This will then be followed by an interactive discussion on the potential application of these tools to voice recorded interviews and audio analysis.

Find out more and register on the SSHOC website.

Learn from experts in the field from the internationally-recognised Digital Curation Centre and Research Data Netherlands and build your confidence in supporting researchers and preserving data.

Topics covered:

• What research support services are commonly offered and who is responsible for providing them?
• How to perform your own gap analysis and what tools you will need to make it happen
• How to support researchers to develop Data Management Plans (DMPs) and offer feedback or consultations
• How to provide for short and long term preservation and storage of research data and where possible, use existing community standards
• How to develop your own RDM Roadmap

Introduction to working with interview data. Henk van den Heuvel - Head of the Humanities Lab at the Faculty of Arts, Radbound University Nijmegen - will briefly introduce the topic of using interviews as research instrument, and the cross-disciplinary nature of using interview data. He will also give some background on the Transcription Chain initiative which originated from oral history research but has a much larger potential.

Demonstration of automatic transcription of speech. Christoph Draxler - Researcher at the Institute of Phonetics and Speech Processing at Ludwig Maximilian University Munich - will demonstrate the web portal for the automatic transcription of speech. This portal currently supports three languages (English, German, Dutch), with Italian and Czech in the pipeline. The portal provides a user-friendly interface, so that researchers without a technical background may use state-of-the-art recognizers, optimized annotation editors and powerful segmentation services to result in high-quality time-aligned transcripts. These transcripts are the basis for the following in-depth scientific analysis, e. g. topic modeling, linguistic structures, named entity recognition.

This first of a series of SSHOC webinars is organised by the consortium partner CLARIN ERIC.

The EuroScience Open Forum (ESOF) is a biennial, pan-European, general science conference dedicated to scientific research and innovation. Each conference aims to deliver stimulating content and lively debate around the latest advancements and discoveries in the sciences, humanities and social sciences.

ESOF brings together over 4,500 leading thinkers, innovators, policy makers, journalists and educators from more than 90 countries, to discuss current and future breakthroughs in contemporary science.

ESOF is one of the best opportunities for everyone from leading scientists, early careers researchers, business people, policy makers, science and technology communicators to the general public to come together to find out more about how science is helping us advance today.

The rescheduling will be accompanied by an update and revision of the ESOF programme. Digital tools, such as teleconferencing for session delivery, will be made available, and session content related to issues concerning public health and the environment, currently at the heart of scientific, political and public debate worldwide, will be amplified. ESOF will maintain its commitments with sponsors and with other companies involved in the event.

Register & find out more on the conference website.

The EURISE Network was formed by the three Social Sciences and Humanities ERICs CESSDA, CLARIN & DARIAH to create an umbrella where research infrastructures meet research software engineers.

As part of this effort, two previous workshops were organised in 2017 and 2019, see also last year’s material.

For more information and to register, go to https://euriseworkshop.sciencesconf.org

Introduction to working with interview data. Henk van den Heuvel - Head of the Humanities Lab at the Faculty of Arts, Radbound University Nijmegen - will briefly introduce the topic of using interviews as research instrument, and the cross-disciplinary nature of using interview data. He will also give some background on the Transcription Chain initiative which originated from oral history research but has a much larger potential.

Demonstration of automatic transcription of speech. Christoph Draxler - Researcher at the Institute of Phonetics and Speech Processing at Ludwig Maximilian University Munich - will demonstrate the web portal for the automatic transcription of speech. This portal currently supports three languages (English, German, Dutch), with Italian and Czech in the pipeline. The portal provides a user-friendly interface, so that researchers without a technical background may use state-of-the-art recognizers, optimized annotation editors and powerful segmentation services to result in high-quality time-aligned transcripts. These transcripts are the basis for the following in-depth scientific analysis, e. g. topic modeling, linguistic structures, named entity recognition.

Register here

Find out more on the SSHOC website.

Day 2, 30 June, 09-11:00 CEST: Agile development of the SSH Open Marketplace: Alignment with user requirements

The SSH Open Marketplace has been in development for over a year now. A preference for the agile approach and UX best practice means we have involved end users as much as possible up to this point via workshops, interviews, brainstorming sessions and prioritisation meetings. When we release the alpha version in June 2020, we will want yet more user feedback and engagement. And that’s what this workshop is about.

More information:

SSH researchers should be awakened to the huge possibilities and avenues for research based on ICT. The future of science is about multidisciplinary collaboration and applying new technologies. ICT tools for SSH researchers already exist, such as research-oriented social networking sites and tools to support scientific research, to manage labs and data, and to enable better communication.

Find out more on the conference website.

1. EU Legal and Ethical perspective in data management (CESSDA Expert);

2. Local perspectives (Serbia, Croatia and North Macedonia);

3. Discussion on relevant topics.

The (re)usability of research data hinges on a number of factors, including the way the data is processed but also how relevant legal aspects, such as copyright and data protection, are addressed. Researchers thus have to ensure that no legal barriers to (re)using the data exist and that (re)use of the data is not hindered by messy, sloppily documented data. Both addressing legal issues and generating clean and well-documented research data are prerequisites of (re)usability.

By the end of the course participants will:

• have gained a basic understanding of research data management in social science research within the larger data lifecycle;
• be aware of legal challenges to data usage and data sharing resulting from data protection regulations and intellectual property rights;
• be familiar with techniques of data cleaning and data documentation, as well as preparing their data for (re)use;
• be familiar with applying re-use licenses to their data and share data with others.

If you require more information about the upcoming event, please contact Nina Bakanova.

To find out more about the Service Providers' Forum please consult the statutes.

Find out more about national services on the Consortium section of the website.

Read the full IDCC 2020 Call for Papers

09.30 Registration and coffee

10.00 Introduction to managing and sharing research data, the FAIR data principles and data management plans

10.30 Ethical and legal context for managing and sharing data from human participants: data protection and research ethics

11.00 Data, documentation and evidence for transparency for qualitative research: theory + exercises (coffee break at 11.30)

12.45 Lunch

13.30 Making data FAIR: documentation and metadata: theory + exercises

14.30 Making data FAIR: preparing and publishing data, incl. access, licensing and repository options: theory + demo1

15.30 Close

Trainers

Anca Vlad, Maureen Haakerand Veerle Van den Eynden, UK Data Service

Fees

UK Students £30UK

Academic staff, voluntary and public sector staff £60

Commercial and others £150

09.30 - 10.00 Coffee

10.00 - 10:30 Introduction, round of presentations

10.30 - 12.00 Review of CESSDA's DMEG Chapter 2 and presentations about data organisation and documentation in projects

12.00 - 13.00 Lunch

13.00 - 14.30 Can we get better at organising and documenting? Discussion in smaller groups

14.30 - 15.00 Final discussion, summary

8:45 – 9:00 Registration, coffee

9:00 – 9:45 Český sociálněvědní datový archiv: služby, projekty, data - Martin Vávra a Tomáš Čížek (ČSDA)

9:45 – 10:30 Jak na management dat v sociálních vědách? Data Management Expert Guide -Johana Chylíková a Martin Vávra (ČSDA)

10:30 - 11:00 Coffee break

11:00 - 12:15 Jak na management dat v sociálních vědách? Data Management Expert Guide - Johana Chylíková a Martin Vávra (ČSDA)

12:15 - 13:00 Light Lunch

13:00 - 14:15 Implementation of GDPR in Social Science Research - Moderated by Johana Chylíková (ČSDA)

GDPR and Social Science Research (short introduction) - Jindřich Krejčí (ČSDA)

Protection of personal data in research from the legal point of view - Eva Fialová (Research Law Centre, Institute of state and law CAS)

Comparing the implementation of the GDPR in the EU. The challenges with a focus on social science research - Oliver Watteler (GESIS, Germany)

GDPR, data collection in social research and polling organizations practice: experience and problems - Paulina Tabery (Public Opinion Research Center, Institute of Sociology CAS), Hana Huntova (Executive Director, SIMAR)

Secondary data analysis and GDPR- Michal Koščík (Head of Legal Department, Faculty of Medicine, Masaryk University)

14:15 - 14:30 Coffee break

14:35 - 15:45 Panel discussion with presenters

Wrap up

The organisation of the workshop was supported by the project ČSDA - Czech Social Science Data Archive, code: LM2015060.

The workshop is organised within the cooperation with CESSDA.

The webinar is funded by CESSDA (Consortium of European Social Science Data Archives) ERIC (https://www.cessda.eu/)

NEW: Video and Slides from the Webinar are now available online on the CESSDA Training website.

The webinar will describe the tests that are included in the tool, how to configure these to meet your own quality thresholds, and how to download the software from our Github page. We will also show our teaching exercise using messy data that can help promote data management skills.

The webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

Presenters: Louise Corti, Cristina Magder and Myles Offord

The webinar takes place on 2 December from 16-17 CET.

Week 1 02 - 06.03.2020: Fundamentals of Data Analysis with Python - Dr. John McLevey, Jillian Anderson

Week 2 09 - 13.03.2020: A Practical Introduction to Machine Learning in Python - Dr. Damian Trilling, Dr. Anne Kroon

Week 3 16 - 20.03.2020: Social Network Analysis with Digital Behavioural Data - Dr. David Garcia, Max Pellert

Who should attend the GESIS Spring Seminar?

The GESIS Spring Seminar is targeted at advanced graduate or PhD students, post-docs, junior and senior researchers, who are interested in developing and improving their knowledge and skills in state of the art techniques in quantitative data analysis.

Spring Seminar Prerequisites

In addition to the prerequisites mentioned in the syllabi of the courses, all Spring Seminar participants are expected to meet the following general criteria:

• have a sound knowledge of quantitative research methods
• have a good command of English as the Spring Seminar will entirely be held in English.

ECTS Credits:

PhD students have the opportunity to receive 3 ECTS (European Credit Transfer and Accumulation System) credit points via the Cologne Graduate School in Management, Economics and Social Sciences of the University of Cologne.

Read here for information about participation fees and other details.

The CoreTrustSeal assesses data repositories with the objective of making repository practices and procedures transparent, and assuring that valuable digital assets are protected.

CoreTrustSeal certification is the latest of several certifications ICPSR has received.

This webinar will explain what trusted repository certification, like CoreTrustSeal, involves, why it matters, and how it benefits ICPSR's stakeholders.

Based on feedback from last year's event, it will cover:

• deploying an application on the CESSDA Technical Infrastructure (from commit, via build and test in development and staging to deployment in the production environment)
• using the CESSDA public APIs;
• distributed logging;
• service to service communication.

The event is intended for CESSDA Service Provider staff working on the implementation of CESSDA Tools and Services and of their own back office systems. Third parties (such as developers from other ERICs that CESSDA has links with) may apply and will be added to the waiting list, in case there are any spare places.

Ideally participants will have attended the EDDI18 training day, but as a minimum requirement they are expected to be familiar with Git and the Linux command line. Some software development pre-work in a language of each delegate’s own choosing will be required, specifications to follow after registration closes. The number of participants is restricted to 30 persons (maximum 2 per SP).

CESSDA delegates from North Macedonia, Croatia, Serbia, Belgium and Portugal will have their travel costs covered, subject to CESSDA’s general travel reimbursement procedure.

Further information

Fill in the registration form.

The closing date is 7 November at 17:00 CET.

Delegates will be contacted shortly afterwards to confirm availability.

For more information about the event, please consult the website of EDDI19.

Submissions should showcase the various ways our IASSIST community is approaching “data by design” and tackling the challenges of building and sustaining data communities, practices and tools.

The Call for Presentations and Workshops, along with the link to the submission form, is on the conference website.

Deadline: 6 December.

More information on the conference website.

We're hoping that as many service providers as possible can join us with their current CoreTrustSeals, their drafts and their proposed renewal applications so that we can make this an active round table discussion.

Please send any comments, questions or suggestions to trust@cessda.eu, and we'll be in touch.

Register here.

Find out more on the conference website.

Find out more about the project on the project website.

Target Group: Representatives from (European) research institutions that are using, or planning to use, Dataverse to run their research data repositories, and, more generally, research institutions that are looking for a repository software.

Participation is free of charge (not including meals).

For more information about the European Dataverse Workshop 2020, visit the workshop webpage.

Seats are limited, register here to join us!

Connecting to EOSC

The five European Strategy Forum on Research Infrastructures (ESFRI) cluster projects provide a gathering point for various ESFRI Research Infrastructures to connect to the European Open Science Cloud (EOSC) in large thematic domains:

• ENVRI-FAIR - Europe’s environmental research infrastructures
• EOSC-life - creating EOSC for the life sciences
• ESCAPE - astronomy & particle physics cluster
• PaNOSC - Photon and Neutron Open Science Cloud
• SSHOC - Social Sciences and Humanities Open Cloud

Main points of discussion:

• Defining ESFRI cluster commonalities
• Leveraging RDA building blocks
• Data services
• Connecting to research communities
• Governance and how to connect to EOSC
• Collaborations
• Research data policies and standards
• Research data management and stewardship
• FAIR data sharing and publishing domain data in the EOSC
• FAIR tools and services, exposed in the EOSC catalogue of services

Agenda and more information

Coordinated by the Social Sciences and Humanities Open Cloud (SSHOC). Please note that the event is co-located with the RDA 14th Plenary and will take place at Aalto University, DIPOLI, Otakaari 24, Otaniemi, Espoo. Participants attending this event only, do not have to pay the RDA Plenary 14 registration fee.

This meeting is reserved for members of the Service Providers' Forum and is not a public event.

If you require more information about the upcoming event, please contact Nina Bakanova.

To find out more about the Service Providers' Forum please consult the statutes.

Find out more about national services on the Consortium section of the website.

The meeting will be preceded by a Working Group Leaders' meeting from 10:00 to 12:00 CET.

• Day 1: Introduction into EU LFS
• Day 2: Practical Training Session I and II (Data Structure, Data Management, Retrospective Data, Panel Analysis)
• Day 3: Practical Training Session III (Multilevel Analysis)

For more details, please see the Preliminary Programme

Please note:

1. Participation is limited to researchers whose organization has been recognized as a research entity by EUROSTAT. Before registration, please check whether your organization has been recognized. In case your organization is not recognized, you first have to apply for recognition via Eurostat.
2. The course fee is 180 Euros. Participants have to cover their own expenses for travel and accommodation.
3. Registration for the EU-LFS Workshop can be made via our registration site.

Deadline for registration is September 30^th, 2019.

For further information, please visit our LFS Workshop website.

The conference will provide presentations on a wide range of topics relating to DDI:

• Case studies
• Mature implementations
• Early implementations
• Interplay of DDI with other standards or technologies
• Projects in early phases in which DDI is under consideration
• Critiques of DDI

Interested users can submit a proposal by September 1st.

For more information about the event, please consult the website of EDDI19.

• Introduction to Digital Preservation – for new service provider staff
• Preparing Metadata for the CESSDA Data Catalogue
• CESSDA Vocabulary Service
• Documentation and Metadata for Geodata
• Documentation and Metadata for Social Media Data

Tools and Services for Researchers

• Harmonization of variables, including case studies with real data
• Geodata Referencing with ESS Case Study
• Data Linking – Surveys, Social Media, and Geo data

Find out more and register here.

Material from the CESSDA Training Days has been made available via Zenodo and Youtube. Please see the full list of content available for download:

The Workshop in 2019 will focus on challenges CESSDA faces to improve its research infrastructure:

1. Challenges connected to sustainability, impact and ongoing monitoring of Research Infrastructures in the European Union, and integration with the European Open Science Cloud.
2. Challenges connected to developments at national data services in terms of funding and building capacities internally and complying with CESSDA requirements externally.
3. Challenges connected to widening of CESSDA in terms of support and collaboration with partner countries and new member countries.

This event is intended for representatives from ministries, research councils and service providers from potential partner countries.

Visit the meeting website: https://www.cessda.eu/skopje2019/

A panel of data protection specialists from the CESSDA network will share their experiences with the GDPR implementation, point to practical guidance, and will answer all your questions. Brief presentations will be followed by an interactive panel discussion. Questions can be presented to the panel in advance of the webinar, via training@cessda.eu, or during the webinar.

Panellists:

Oliver Watteler, GESIS - Leibniz-Institute for the Social Sciences, Germany

Scott Summers, Lecturer Business Law, University of East Anglia, UK

Marlon Domingus, Data Protection Officer, Erasmus University Rotterdam, Netherlands

Anne-Mette Somby, Special Adviser Data Protection Services, Norwegian Centre for Research Data, Norway

Materials from GDPR webinar are available on CESSDA Training YouTube Channel, on CESSDA Training web page, and on Zenodo (recording: 10.5281/zenodo.3263965; slides: 10.5281/zenodo.3267965)

- improving decision making,

- tackling grand societal challenges, and

- engaging citizens in the creation of knowledge and betterment of society.

Data has enormous and diverse potential to change how we work, make decisions and empower citizens. The 14th RDA plenary will explore the extensive ways data can make the difference by bringing together diverse group of experts from all around the globe. During the plenary we will share and learn together and advance our abilities to use data in making a positive impact in the world to tackle its complex challenges.

The Plenary is co-hosted by Research Data Alliance Finland, CSC - IT Centre for Science, Aalto University, University of Helsinki, Federation of Finnish Learned Societies, and Finnish Meteorological Institute.

Deadlines

Call for co-located events: 20 May 2019 at 16:00 UTC

Call for Sessions (Group session, Joint meeting, BoF session): 27 June 2019 at 16:00 UTC

Call for posters: 27 June 2019 at 16:00 UTC

Find out more on the conference website

The webinar will introduce the CESSDA Data Catalogue as a means of finding and accessing research data. It will furthermore enable participants to understand conditions for reuse (licenses). With the aim of fostering reusability of research data, we will furthermore introduce use-cases.

More information

This event is part of a workshop/webinar series organised by members of the SERISS project. In addi-tion, the SERISS team offers a webinar on "Meeting funders’ requirements – archiving and data sharing", and a face-to-face workshop on "Legal and ethical issues regarding data collection from a researcher’s point of view". The SERISS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654221.

Register here.

This webinar aims to raise awareness about relevant key data management practices for sharing, specifically regarding data documentation, gaining consent, and data anonymisation.

Addressing each of these three topics, we will provide a short theoretical introduction, including what FAIR means and how it is implemented, as well as practical illustrations drawing on a large-scale cross-national survey (the European Social Survey). We will then complete the webinar by providing some practical tips with respect to data archiving, in particular how to choose an appropriate archive or repository.

More information

The webinar is organised by FORS- Swiss Centre of Expertise in the Social Sciences & GESIS - Leibniz Institute for the Social Sciences. This event is part of a series organised by members of the SERISS project. The SERISS team offers two other trainings; one webinar on “Finding and reusing data”, and a face-to-face workshop on “Legal and ethical issues regarding data collection from a researcher’s point of view”. The SERISS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654221.

Register here.

The aim of this half-day short course is to give researchers knowledge on how to process personal data in compliance with the law and ethical principles.
Researchers will gain knowledge of the different legal grounds that exist for using personal data in research.

The course will provide concrete and practical examples of collecting, reusing and sharing personal data. In addition, it will act as a forum for discussion and sharing of experiences.

As a result of the short course, participants will have gained basic knowledge about privacy legislation and consequences for research and cooperation across institutions and countries. They will have basic knowledge of data management, including archiving and reuse of data (including personal data).

More information

This event is part of a workshop/webinar series organised by members of the SERISS project. In addition, the SERISS team offers two webinars; one on "Meeting funders’ requirements – archiving and data sharing", the other on "Finding and reusing data". The SERISS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654221.

The workshop is fully booked.

Find out more about the ESRA conference.

This is a face-to-face seminar organised by the CESSDA Tools & Service Working Group. The seminar targets CESSDA Service Provider staff developing and maintaining CESSDA Tools and Services.

The number of participants is limited. Service Providers are asked to coordinate participation internally, nominating one or two persons to attend this year’s CESSDA Expert Seminar.

The event is free of charge.

More information

Register to the event here.

The full address can be found here with further directions here.

The agenda of the seminar is available here.

Consult last year's CES2018.

The event is free of charge.

Please register here.

More information will follow shortly.

This workshop aims to break down some of these barriers by offering scholars who work with interview data the opportunity to apply, experiment and exchange tools and methods that have been developed in the realm of Digital Humanities.

The workshop

This half-day workshop will provide a fruitful cross-disciplinary knowledge exchange session.

It will:

1. Show how you can convert your AV-material into a suitable format and then use automatic speech recognition via the OH-portal
2. Demonstrate the correction of the ASR-results and the annotation of the resulting text
3. Demonstrate how you can do star some simple text-analysis (Voyant) and create some nice graphics
4. Demonstrate the possibility of emotion extraction with Open Smile

More information

Read the CLARIN blog post here.

Registration

Register on the DH2019 website.

This year, the meeting will incorporate also the 2^ndmeeting of the ERIC Forum Implementation Project on 8 May. Following the kick-off in Amsterdam on 31 January, project partners will present the current status of each work package as well as the upcoming steps and deliverables.

The ERIC Forum’s mission is to identify common challenges in various fields among the Research Infrastructures subject to ERIC regulations, develop solutions that can be implemented and used by different Research Infrastructures and set up best practices and guideline for future ERICs.

Find out more and register on the project website.

Find out more here.

The webinar will consist of a 30 minute presentation followed by 20 minutes for questions.

Presenter: Valerija Kolbas

The webinar is intended for researchers or anyone interested in finding data from the UK Data Service.

Find out more here.

Presenter: Deborah Wiltshire

The webinar is designed for researchers or anyone interested in finding out about the UK Data Service.

Find out more here.

This meeting is reserved for members of the Service Providers' Forum and is not a public event.

If you require more information about the upcoming event, please contact Nina Bakanova.

To find out more about the Service Providers' Forum please consult the statutes.

Find out more about national services on the Consortium section of the website.

A first Directors' meeting will take place before the Service Providers' Forum.

The guest speaker, sociologist Kristýna Bašná from the Institute of Sociology, Czech Academy of Sciences, will present her personal experience with discovering data in the context of her research on civic culture and democracy.

The speakers will talk for approximately half an hour and then there will be another half an hour for questions.

Please register here.

Material from the webinar available:

• Video Recording on YouTube
• Slides from the webinar
• User Guide (PDF, 375 KB) - finding and accessing data from national social science data services
• Case studies (PDF, 213 KB)

Data sharing thus fosters research and innovations, avoids duplicating already existing data and increases efficiency of public money spent. In the context of Open Access to research data, researchers are prompt not only to share their data in one way or another, but to systematically process so called FAIR data, ensuring that research data can be found, accessed, interoperated and re-used by others.

Developed by data professionals and archivists, the FAIR data principles are challenging for many researchers, being in doubt on how to satisfy appropriate requirements by funders.

The current workshop introduces the FAIR data principles in light of ensuring Open Access to research data. It discusses requirements of Open Access to research data and how the FAIR data principles foster a widespread of high quality data.

Based on the definition of the FAIR principles and the discussion on appropriate requirements, the course guides researchers on how to process shareable data that can be re-used by others and how researchers could make such shareable data FAIR.

Find out more here.

Find out more here.

The DMEG was prepared by CESSDA Service Providers. CESSDA data management experts will train participants in how to use the developed materials in the delivery of training to their researchers.

The training event is designed interactively and includes hands-on exercises.

The event is free of charge.

We encourage participants to register as soon as possible, as the number of places on the training course is limited.

Find out more here.

The following program of the workshop includes available presentations given during the event.

The DMEG was prepared by CESSDA Service Providers. CESSDA data management experts will train participants in how to use the developed materials in the delivery of training to their researchers.

The training event is designed interactively and includes hands-on exercises.

The event is free of charge.

We encourage participants to register as soon as possible, as the number of places on the training course is limited.

Find out more here.

The following program of the workshop includes available presentations given during the event.

The networking meeting Research Data Management Reloaded: Open Data and the Future of Research Data Management in the Social Sciences and Humanities targets research data management officers of universities and research institutes in German-speaking countries. It aims to bring together such representatives for a systematic knowledge exchange. This involves a review of Open Data requirements and related infrastructure, e.g. in terms of best practice guidelines, data repositories or data registration (persistent identifiers), as well as of resources to assist researchers in processing Open Data, such as the FOSTER Toolkit or the CESSDA Data Management Expert Guide. Based on this, participants will discuss recommendations for future action and networking in order to promote research and research data of their research institutes.

Please note that this workshop is in German targeting research data management officers, exclusively.

Find out more here.

The material from this event has been made available for download:

1. Introduction “Open Science und FAIR Data “ - http://doi.org/10.5281/zenodo.3925299
2. Das FOSTER Toolkit - http://doi.org/10.5281/zenodo.3925327
3. CESSDA Data Management Expert Guide, Forschungsdatenmanagement Training Tool http://doi.org/10.5281/zenodo.3925373
4. Was bietet das GESIS Datenarchiv an? http://doi.org/10.5281/zenodo.3925380
5. Gemeinsam statt einsam, Beispiele für ein vernetztes Forschungsdatenmanagement http://doi.org/10.5281/zenodo.3925390
6. Hessische Forschungsdateninfrastruktur HeFDI- FDM als Landesinitiative - http://doi.org/10.5281/zenodo.3925395
7. Verbund Forschungsdaten Bildung http://doi.org/10.5281/zenodo.3925399
8. CESSDA ERIC, Ein paneuropäisches Netzwerk sozialwissenschaftlicher Datenarchive http://doi.org/10.5281/zenodo.3925409

Find out more on the conference website.

Download the conference flyer.

Find out more on the conference website.

During the same period, rapid advances in web and mobile-web technology have created a wealth of new opportunities for data gathering. These developments have resulted in a sea change in how surveys are being conducted, and a host of new opportunities for methodological research aimed at identifying best practice principles for practitioners and providing recommendations to analysts who work with the data.

Register and find out more on the conference website.

Find out more about the event on the project website.

The event will start with an overview of different European Open Science and RDM training and learning resources. Then trainers will get the opportunity to use these materials to work on their own trainings in small break-out groups.

The bootcamp will take place on Wednesday 17th of April 09:00-17:00 at DANS in The Hague, The Netherlands. Participation costs 50,- Euro and registration is required.

Programme

09.00 - 09.30 Registration

09.30 - 09.45 Welcome (Peter Doorn, DANS)

09.45 - 10.15 Using the CESSDA Data management Expert Guide and the train the trainer package - Ricarda Braukmann (DANS)

10.15 - 10.45 Using the FOSTER/OpenAIRE training and learning resources on Open Science and RDM - Iryna Kuchma (EIFL)

10.45 - 11.15 Data stewardship training resources in ELIXIR (Celia van Gelder, ELIXIR-NL)

11.15 - 12.30 Coffee/Tea and Break out groups: Your current training - moderator Gwen Franck (EIFL)

12.30 - 13.30 Lunch

13.30 - 14.15 Tips for trainers - Ellen Leenarts (DANS), Iryna Kuchma (EIFL)

14.15 - 16.15 Break out groups - Strengthen your own training and support activities - moderator Gwen Franck (EIFL)

16.15-16:30 Wrap up

16:30-17:00 Drinks and networking

Registration

The participation fee for this bootcamp is 50,- Euro. You can register for the event through this link. The bootcamp has a limit of 50 participants and places will be allocated on a first come first served basis. The deadline for registration is April 5th 2019. Please note that if you cancel your registration less than one week before the event (10 April), registration costs will not be reimbursed.

For questions about this event, please feel free to contact Ricarda Braukmann.

Updated information about the event can be found on the DANS website.

In a nutshell

Open Science and Research Data Management Train-the-Trainer Bootcamp

When: Wednesday 17 April

09:00-17:00

Where: DANS (The Hague, Netherlands)

Target audience: Trainers in RDM and Open Science

Costs: 50,- Euro

Registration link.

The event will start with an overview of different European Open Science and RDM training and learning resources. Then trainers will get the opportunity to use these materials to work on their own trainings in small break-out groups.

The bootcamp will take place on Wednesday 17th of April 09:00-17:00 at DANS in The Hague, The Netherlands. Participation costs 50,- Euro and registration is required.

Programme

09.00 - 09.30 Registration

09.30 - 09.45 Welcome (Peter Doorn, DANS)

09.45 - 10.15 Using the CESSDA Data management Expert Guide and the train the trainer package - Ricarda Braukmann (DANS)

10.15 - 10.45 Using the FOSTER/OpenAIRE training and learning resources on Open Science and RDM - Iryna Kuchma (EIFL)

10.45 - 11.15 Data stewardship training resources in ELIXIR (Celia van Gelder, ELIXIR-NL)

11.15 - 12.30 Coffee/Tea and Break out groups: Your current training - moderator Gwen Franck (EIFL)

12.30 - 13.30 Lunch

13.30 - 14.15 Tips for trainers - Ellen Leenarts (DANS), Iryna Kuchma (EIFL)

14.15 - 16.15 Break out groups - Strengthen your own training and support activities - moderator Gwen Franck (EIFL)

16.15-16:30 Wrap up

16:30-17:00 Drinks and networking

Registration

The participation fee for this bootcamp is 50,- Euro. You can register for the event through this link. The bootcamp has a limit of 50 participants and places will be allocated on a first come first served basis. The deadline for registration is April 5th 2019. Please note that if you cancel your registration less than one week before the event (10 April), registration costs will not be reimbursed.

For questions about this event, please feel free to contact Ricarda Braukmann.

Updated information about the event can be found on the DANS website.

In a nutshell

Open Science and Research Data Management Train-the-Trainer Bootcamp

When: Wednesday 17 April

09:00-17:00

Where: DANS (The Hague, Netherlands)

Target audience: Trainers in RDM and Open Science

Costs: 50,- Euro

Registration link.

About the EURISE Network

The infrastructures CESSDA, CLARIN and DARIAH develop and provide services by and for the research community of the Arts, Humanities and Social Sciences. While their individual foci address different scholarly needs of the various disciplines, the underlying technological challenges of distributed digital infrastructures are very similar. The EURISE Network was established to facilitate the collaboration in this area and to align technological strategies among the infrastructures and with the wider Research and Software Engineering Community and their intersection in particular.

About the event

Following their common workshop on "Software Sustainability: Quality and Re-Use" in 2017, they created the European Research Infrastructure Software Engineers' Network. Moving on from concrete issues of software development, this second workshop will address a variety of questions relating to infrastructure operation. This includes both technical and administrative matters that need to be addressed to provide high quality services for the European Open Science Cloud. The topics range from technical requirements to meeting the EOSC standards through administrative aspects of service management up to suitable business models.

Registration

Consult the programme and register here.

The workshop will be hosted by UK Research and Innovation (UKRI/STFC) at the London Royal Geographical Society, supported by the StR-ESFRI Project (Support to Reinforce ESFRI), in cooperation with ESFRI and the European Commission, DG Research and Innovation (Unit B4 – Research Infrastructure).

Find out more here.

In the morning before the open day on open science, it is possible to visit the DataverseNL seminar as well.

For more information, please see here.

For many Europeans, stagnating incomes, the perception of increasing social inequalities, transformed labor relations, and the uncertainty about life prospects have created profound economic insecurities. The Great Recession and the financial crisis have affected all European societies to different extents.

Resulting concerns about the ability of existing political institutions to manage risk and provide good governance, or about the ability to hold existing power accountable, have shaken previous allegiances to the political status quo, whether to mainstream parties, the European Union, or even liberal democracy itself. Previously trusted sources of information - science, expertise, the mainstream media, and all sorts of secondary organisations - are now constantly questioned on the basis of their aloofness, irrelevance, or bias.

The 4th International ESS Conference will showcase research that uses our data to address these issues. The conference aims to show the depth and breadth of scientifically rigorous research made possible as a result of the high quality comparative data provided by the ESS.

Find out more and register here.

Register here.

The second part will be a presentation on how trustworthy data repositories enable FAIR data, taking as an example the CoreTrustSeal Requirements. A mapping between CoreTrustSeal Requirements and the FAIR principles
will reveal the synergies and complementarity to enable a FAIR data environnement on the level of files, datasets, and repositories.

Last but not least, there will be time for a Q&A session.

Speakers: Peter Doorn, Ingrid Dillo, Eliane Fankhauser, Mustapha Mokrane.

More information

Sounds interesting? Sign up here for this webinar to learn more about FAIR and its use in daily research life. The webinar takes place on 11 December, at 15:00. The main language during the webinar will be English.

For more details on the conference:

• Event Link: https://vidensportal.deic.dk/da/FAIR_Toolbox_Event
• Programme: https://vidensportal.deic.dk/da/node/690
• Participation: https://www.deic.dk/en/RA/fair/2018/registration (NB: no. of participants max 75)

Background for the conference:

The FAIR data principles were published in 2016 as an attempt to maximise the reusability of research data. Realising that “open data is more than disclosure” on the one hand and that “not all data can be open” on the other hand, the 15 principles have been designed to guide researchers, research institutions and service providers to make data Findable, Accessible, Interoperable and Reusable. They have since found their way into policies of funding agencies, publishers and universities.

However, applying these principles in practice is not straightforward, in particular considering the vast amount of data types and traditions in the different disciplines. This conference addresses this gap and presents a practical toolbox for applying these principles across disciplines.

This conference presents the highlights and conclusions of the “FAIR across” (“FAIR på tværs”) project, that 6 Danish institutions (Copenhagen University, DTU, Aalborg University, CBS, the Royal Library and the Danish National Archives) have conducted throughout 2018 for the Danish National Research Data Management Forum, investigating the challenges and benefits of FAIR data within different fields of research.

Co-organized by the ICSU World Data System (WDS), the ICSU Committee on Data for Science and Technology (CODATA) and the Research Data Alliance (RDA), this landmark event will address the theme of ‘The Digital Frontiers of Global Science’.

Find out more on the conference website.