Publication

How to be FAIR with your data - A teaching and training handbook for higher education institutions

Claudia Engelhardt, Katarzyna Biernacka, Aoife M Coffey, Ronald Cornet, Alina Danciu, Yuri Demchenko, Stephen Downes, Christopher Erdmann, Federica Garbuglia, Kerstin Germer, Margareta Hellström, Kristina Hettne, Dawn Hibbert, Mijke Jetten, Yulia Karimova, Karsten Kryger Hansen, Mari Elisa Kuusniemi, Viviana Letizia, Valerie McCutcheon, Barbara McGillivray, Jenny Ostrop, Britta Petersen, Ana Petrus, Stefan Reichmann, Najla Rettberg, Carmen Reverté, Nick Rochlin, Bregt Saenen, Birgit Schmidt, Jolien Scholten, Hugh Shanahan, Armin Straube, Veerle Van den Eynden, Justine Vandendorpe, Shanmugasundaram Venkataram, Cord Wiljes, Ulrike Wuttke, Joanne Yeomans, Biru Zhou

In: Raisa Barthauer, Yuri Demchenko, Claudia Engelhardt, Federica Garbuglia, Kerstin Germer, Margareta Hellström, Valerie McCutcheon, Hugh Shanahan, Armin Straube, Shanmugasundaram Venkataram, André Vieira, Joanne Yeomans, Biru Zhou. How to be FAIR with your data - A teaching and training handbook for higher education institutions. Pages 1-179 European Commission 2022.

Abstract

The handbook was written and edited by a group of about 40 collaborators in a series of six book sprint events that took place between 1 and 10 June 2021. It aims to support higher education institutions with the practical implementation of content relating to the FAIR principles in their curricula and teaching by providing practical material, such as competence profiles, learning outcomes and lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021.

D7.5_Good_Practices_in_FAIR_Competence_Education_20211216_v1.0.pdf (pdf, 433 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz