Mot-clé : fair

12.08.2020

FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles

« (…) This paper reports on the lessons learned from the RDA SHARC Interest Group on identifying the processes required to…

datascience.codata.org, David, R., Mabile, L., Specht, A., Stryeck, S., Thomsen, M., Yahia, M., Jonquet, C., Dollé, L., Jacob, D., Bailo, D., Bravo, E., Gachet, S., Gunderman, H., Hollebecq, J.-E., Ioannidis, V., Le Bras, Y., Lerigoleur, E., Cambon-Thomsen, A. and Alliance – SHAring Reward and Credit (SHARC) Interest Group, T.R.D., 2020. FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles. Data Science Journal, 19(1), p.32. DOI: http://doi.org/10.5334/dsj-2020-032

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22.01.2019

Expanding the Research Data Management Service Portfolio at Bielefeld University According to the Three-pillar Principle Towards Data FAIRness

« Research Data Management at Bielefeld University is considered as a cross-cutting task among central facilities and research groups at the…

datascience.codata.org, Schirrwagen, J., Cimiano, P., Ayer, V., Pietsch, C., Wiljes, C., Vompras, J. and Pieper, D., Data Science Journal, 18(1), p.6. DOI: http://doi.org/10.5334/dsj-2019-006

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