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FAIRness Literacy: the Achilles' Heel of applying FAIR Principles

Romain David 1, 2, 3, 4 Laurence Mabile 5, 6, 7 Alison Specht 8 Stryeck, Sarah 9 Mogens Thomsen 10, 6, 7 Mohamed Yahia 11 Laurent Dollé 12, 13, 14 Clement Jonquet 15, 4 Daniele Bailo 16 Elena Bravo 17 S. Gachet 18 Hannah Gunderman 19 Jean-Eudes Hollebecq 1, 2, 3, 4 Vassilios Ioannidis 20 Daniel Jacob 21, 2 Yvan Le Bras 22 Emilie Lerigoleur 23 Cambon-Thomsen, Anne 6, 7
Abstract : The SHAring Rewards and Credit (SHARC) interest group was established in 2017 as part of the Research Data Alliance (RDA). The objective is to improve research crediting and rewarding mechanisms for scientists who strive to organise their data (and material resources) for community sharing. This implies that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable. This was formalised in the FAIR principles in 2016 (Findable, Accessible, Interoperable and Reusable). Sharing requires considerable time, energy, expertise and motivation. One solution to encourage scientists to share their data would be to reward sharing as a first-class research output. To that aim, assessing the compliance of data with FAIR principles and increasing the understanding of FAIRness criteria – i.e. promoting FAIRness literacy, are critical steps. Appropriate human-readable criteria must first be identified in the FAIRness assessment processes. This paper presents the design and critical evaluation of a generic tool developed by the SHARC IG for assessing FAIRness of projects and related human processes by either external evaluators or the researchers themselves. We discuss better ways to implement simple FAIRness assessment in various communities and identify procedures and training that must be deployed and adapted to their practices and level of understanding. The next steps for the SHARC IG will be to elicitate the requirements for FAIR literacy in support of emerging practices for the FAIRification of data and services and how credit and reward mechanisms could advance data sharing.
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Submitted on : Tuesday, February 18, 2020 - 3:32:38 PM
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Romain David, Laurence Mabile, Alison Specht, Stryeck, Sarah, Mogens Thomsen, et al.. FAIRness Literacy: the Achilles' Heel of applying FAIR Principles. 2020. ⟨hal-02483307⟩

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