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Poster

How to assess FAIRness to improve crediting and rewarding processes for data sharing? A step forward towards an extensive assessment grid

Romain David 1, 2 Laurence Mabile 3 Mohamed Yahia 4 Anne Cambon-Thomsen 3 Anne-Sophie Archambeau 5 Louise Bezuidenhout 6 Sofie Bekaert 7 Gabrielle Bertier 8 Elena Bravo 9 Jane Carpenter 10 Anna Cohen-Nabeiro 11 Aurélie Delavaud 11 Laurent Dollé 12 Michele de Rosa 13 Fiona Murphy 14 Florencia Grattarola 15 Sophie Pamerlon 16 Alison Specht 17 Anne-Marie Tassé 18 Mogens Thomsen 19 Martina Zilioli 20
1 IMBE - Institut méditerranéen de biodiversité et d'écologie marine et continentale
2 MISTEA - Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie
3 LEASP - Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps
4 ICGM ICMMM - Institut Charles Gerhardt Montpellier - Institut de Chimie Moléculaire et des Matériaux de Montpellier
5 GBIF France - Global Biodiversity Information Facility France
6 University of Oxford [Oxford]
7 UGENT - Ghent University [Belgium]
8 Department of Biology [Montréal]
9 Istituto Superiore di Sanita [Rome]
10 The University of Sydney
11 FRB - Fondation pour la recherche sur la Biodiversité
12 Biothèque Wallonia-Bruxelles
13 BONSAI - Bioinformatics and Sequence Analysis
Université de Lille, Sciences et Technologies, Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189, CNRS - Centre National de la Recherche Scientifique
14 Murphy Mitchell Consulting LTD
15 University of Lincoln
16 IRD - Institut de Recherche pour le Développement
17 CESAB - Centre de Synthèse et d’Analyse sur la Biodiversité
18 P3G - Public Population Project in Genomics and Society
19 I2MC - Institut des Maladies Métaboliques et Cardiovasculaires
20 IREA-CNR - Istituto per il Rilevamento Elettromagnetico dell'Ambiente [Napoli]
Abstract : The SHARC (SHAring Reward & Credit) interest group (IG) is an interdisciplinary group set up in the framework of RDA (Research Data Alliance) to improve crediting and rewarding mechanisms in the sharing process throughout the data life cycle. Notably, one of the objectives is to promote data sharing activities in research assessment schemes at national and European levels. To this aim, the RDA-SHARC IG is developing assessment grids using criteria to establish if data are compliant to the FAIR principles (findable /accessible / interoperable / reusable). The grid is aiming to be extensive, generic and trans-disciplinary. It is meant to be used by evaluators to assess the quality of the sharing practice of the researcher/scientist over a given period, taking into account the means & support available over that period. The grid displays a mind-mapped tree-graph structure based on previous works on FAIR data management (Reymonet et al., 2018; Wilkinson et al., 2016; Wilkinson et al., 2018; and E.U.Guidelines about FAIRness Data Management Plans). The criteria used are based on the work from FORCE 11*, and the Open Science Career Assessment Matrix designed by the EC Working group on Rewards under Open science. The criteria are organised in 5 clusters: ‘Motivations for sharing’; ‘Findable’, ‘Accessible’, ‘Interoperable’ and ‘Reusable’. For each criterion, 4 graduations are proposed (‘Never / Not Assessable’; ‘If mandatory’; ‘Sometimes’; ‘Always’). Only one value must be selected per criterion. Evaluation should be done by cluster; the final overall assessment will be based on the sum of the number of each ticked value / total number of criteria in each cluster; the ‘motivations for sharing’ should be appreciated qualitatively in the final interpretation. The final goals are to develop a graduated assessment of the researcher FAIRness literacy and help identifying needs to build FAIRness guidelines to improve the sharing capacity of researchers.
Keywords : Findable accessible interoperable reusable FAIRness literacy
Type de document :
Poster
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https://hal.archives-ouvertes.fr/hal-02094678
Déposant : Romain David <>
Soumis le : mercredi 10 avril 2019 - 12:59:01
Dernière modification le : vendredi 8 janvier 2021 - 15:14:06

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UNIV-AVIGNON | CNRS | CRISTAL | IRD | INC-CNRS | INRIA | CHIMIE | UNIV-MONTPELLIER | ICG | IMBE | UNIV-LILLE | UNIV-AMU | OSU-INSTITUT-PYTHEAS | UNIV-TLSE3 | INRA | AGROPOLIS | INRAE | MONTPELLIER-SUPAGRO | MISTEA

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Romain David, Laurence Mabile, Mohamed Yahia, Anne Cambon-Thomsen, Anne-Sophie Archambeau, et al.. How to assess FAIRness to improve crediting and rewarding processes for data sharing? A step forward towards an extensive assessment grid. RDA 13th (P13) Plenary Meeting, Apr 2019, Philadelphia, United States. 2019, ⟨10.5281/ZENODO.2625721⟩. ⟨hal-02094678⟩

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