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How to be FAIR with your data
Date Issued
2022-05
Author(s)
Biernacka, Katarzyna
Coffey, Aoife
Cornet, Ronald
Danciu, Alina
Demchenko, Yuri
Downes, Stephen
Erdmann, Christopher
Garbuglia, Federica
Germer, Kerstin
Helbig, Kerstin
Hellström, Margareta
Hettne, Kristina
Hibbert, Dawn
Jetten, Mijke
Karimova, Yulia
Hansen, Karsten Kryger
Kuusniemi, Mari Elisa
Letizia, Viviana
McCutcheon, Valerie
McGillivray, Barbara
Ostrop, Jenny
Petersen, Britta
Petrus, Ana
Reichmann, Stefan
Reverté, Carmen
Rochlin, Nick
Saenen, Bregt
Scholten, Jolien
Shanahan, Hugh
Straube, Armin
Eynden, Veerle Van den
Vandendorpe, Justine
Venkataram, Shanmugasundaram
Wiljes, Cord
Yeomans, Joanne
Zhou, Biru
DOI
10.17875/gup2022-1915
Abstract
This handbook was written and edited by a group of about 40 collaborators in a series of six book sprints 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, while also aiding teaching by providing practical material, such as competence profiles, learning outcomes, lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021.
File(s)
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Name
Engelhardt_FAIR.pdf
Size
3.89 MB
Checksum (MD5)
6693e26f1d72334ee5ebbc2bf478c5ff
