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Figures & Tables

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Figure 1

Mind mapping FAIRness assessment criteria. The mind map shows the extensive set of FINDABLE criteria of the FAIR principles (12 criteria). The level of importance of each criteria is divided into three categories (illustrated by three colours), Essential (purple)/Recommended (brown)/Desirable (red).

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Figure 2

Mind mapping FAIRness assessment criteria. The mind map shows the extensive set of ACCESSIBLE criteria of the FAIR principles (11 criteria). The level of importance of each criteria is divided into three categories (illustrated by three colours), Essential (purple)/Recommended (brown)/Desirable (red).

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Figure 3

Mind mapping FAIRness assessment criteria. The mind map shows the extensive set of INTEROPERABLE criteria of the FAIR principles (5 criteria). The level of importance of each criteria is divided into three categories (illustrated by three colours), Essential (purple)/Recommended (brown)/Desirable (red).

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Figure 4

Mind mapping FAIRness assessment criteria. The mind map shows the extensive set of REUSABLE criteria of the FAIR principles (17 criteria). The level of importance of each criteria is divided into three categories (illustrated by three colours), Essential (purple)/Recommended (brown)/Desirable (red).

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Figure 5

FAIRification can be schematized as a wheel describing iterative quality steps that need to be approved by the community throughout the process. This schema displays the “preparing” and “training” phases as conditions of pre-FAIRification. The pre-FAIRification processes must be community-approved at each iteration. The FAIRification steps ‘check’ and ‘adjust’ implementation must be approved by the community before a new iteration.

Language: English
Submitted on: Feb 3, 2020
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Accepted on: Jul 27, 2020
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Published on: Aug 11, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Romain David, Laurence Mabile, Alison Specht, Sarah Stryeck, Mogens Thomsen, Mohamed Yahia, Clement Jonquet, Laurent Dollé, Daniel Jacob, Daniele Bailo, Elena Bravo, Sophie Gachet, Hannah Gunderman, Jean-Eudes Hollebecq, Vassilios Ioannidis, Yvan Le Bras, Emilie Lerigoleur, Anne Cambon-Thomsen, The Research Data Alliance – SHAring Reward and Credit (SHARC) Interest Group, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.