The SSHOC project and DARIAH ERIC announce an interactive bootcamp for trainers, data supporters, librarians and data stewards in the humanities and social sciences who provide training in the field of Research Data Management.
The bootcamp will take place over 2 half-days, with a break in between to allow for independent study:
- Monday 8 February 2021 10:00-12:00 CET
- Thursday 11 February 2021 10:00-12:00 CET
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.
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 and to be 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.
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.
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.
How to Register
Register for both days by completing the registration forms:
- Day 1: https://zoom.us/meeting/register/tJwpdumtrz0oGtxDnEvvhdlNixY7552sDq40
- Day 2: https://zoom.us/meeting/register/tJIucOGgpj4tGdQyNMy7iwa3HF7jRnM7wi-A
Registered participants will then receive information on how to attend the sessions once they register.
About the Speakers
Kerstin Helbig (Humboldt University Berlin)
Kerstin Helbig is research data management coordinator at Humboldt-Universität zu Berlin, Germany. She assists researchers in the management of their research data and organizes training as well as information sessions. In her former position, she was a research associate at GESIS – Leibniz Institute for the Social Sciences, where she was responsible for the further development of the used metadata schema and supported researchers in the registration of their research data.
Katrin Weller (GESIS)
Katrin Weller a senior researcher at GESIS – Leibniz Institute for the Social Sciences, where she leads an interdisciplinary team within the Department of Computational Social Sciences. Her work is targeted towards developing new approaches to using social media data in social science research, and to support researchers working with these new types of digital behavioral data. Katrin holds a PhD in information science and her research interests relate to social media, data preservation, scholarly communication & altmetrics, web users and communication structures.
Oliver Watteler (GESIS)
Oliver Watteler is a senior researcher at GESIS – Leibniz Institute for the Social Sciences, where he works in the area of research data management and data acquisition. He consults projects on organizational and legal matters of research data management, and heads data services projects. Oliver holds a Master’s degree in History and Political Science. He publishes in the areas of research data management and data protection.
Kristen Schuster, PhD (King’s College London)
Kristen Schuster is a Lecturer in Digital Curation in the Department of Digital Humanities at King’s College London. She completed her doctoral work in May 2016 at the University of Missouri in the School of Information Science & Learning Technologies. Before her doctoral work, she completed her masters in library and information science at Simmons College in 2012.
Angus Whyte (DCC)
Angus Whyte is a Senior Research Data Specialist with the Digital Curation Centre, His focus in DCC, which he joined in 2007, has been on conducting surveys, case studies, and co-designing guidance materials and assessment frameworks. He currently co-leads the Policy and Practice WP in FAIRsFAIR, contributes to establishing the project’s FAIR Competence Centre. He was a member of the EOSC WG Skills and Training and previously, in the EOSCpilot project, led development of a skills framework for FAIR (FAIR4S). Angus has a background in social informatics, working as a post-doc in the field of e-democracy for 10 years, designing platforms for e-petitioning and e-consultation and evaluation frameworks for that context. He holds a PhD in Information Science, and MSc in Information Management from University of Strathclyde, and a BSc in Computing from Edinburgh Napier University.
For more information, please contact Ricarda Braukmann at firstname.lastname@example.org