Meeting Register Page

Organized by the SSHOC project and DARIAH-EU
Train-the-Trainer RDM Bootcamp_Day 2
This interactive bootcamp is aimed at all academics and practitioners involved in delivering Research Data Management training. It takes place over 2 non-consecutive half-days, with a break in between to allow for independent study.

Participants will receive expert training from leading practitioners and trainers in the field of research data management, offering the opportunity to specialise in one key area of interest:
● Planning to meet the costs of managing research data to be FAIR,
● GDPR and Ethical issues in working with social media data,
● or dealing with third-party data coming from Cultural Heritage institutions (galleries, museums, libraries, archives).
They will also complete an assignment in between the two half-days, receiving feedback from their peers and the expert panelists during the second half-day, which will conclude with a plenary session looking at the didactics of research data management training.


Day 1: 8 Feb, 10.00-12.00 CET
● Introductory lectures on cost estimation, GDPR and Ethical issues with social media data, and dealing with third-party data
● Practical exercises and assignments in breakout rooms (one topic per participant)

Day 2: 11 Feb 10.00 - 12.00 CET
● Review of assignments and exercises in breakout rooms
● Plenary: “The Didactics of RDM Training”

● Angus Whyte, Senior Research Data Specialist with the Digital Curation Centre
● Katrin Weller, Senior Researcher, Computational Social Sciences, GESIS
● Oliver Wattler, Senior Researcher, Data Archive for the Social Sciences, GESIS
● Kerstin Helbig, RDM coodinator at Humboldt University Berlin
● Kristen Schuster, Lecturer in Digital Curation, King's College London

*Please note that should you decide to participate, the format of the bootcamp assumes participation on both days, as they will build on each other. This is the registration for DAY 2. There is separate registration for DAY 1.

Feb 11, 2021 10:00 AM in Amsterdam

* Required information