Title :

Operationalizing and evaluating the FAIRness concept for a good quality of data sharing in Research: the RDA-SHARC-IG (SHAring Rewards and Credit Interest Group)

Author(s) :

David, Romain [Auteur]
Institut méditerranéen de biodiversité et d'écologie marine et continentale [IMBE]
Mabile, Laurence [Auteur]
Université Toulouse III - Paul Sabatier [UT3]
Yahia, Mohamed [Auteur]
Institut Charles Gerhardt Montpellier - Institut de Chimie Moléculaire et des Matériaux de Montpellier [ICGM]
Cambon-Thomsen, Anne [Auteur]
Archambeau, Anne-Sophie [Auteur]
Patrimoine naturel [PatriNat]
Bezuidenhout, Louise [Auteur]
University of Oxford
Bekaert, Sofie [Auteur]
Universiteit Gent = Ghent University = Université de Gand [UGENT]
Bertier, Gabrielle [Auteur]
Department of Biology [Montréal]
Université Toulouse III - Paul Sabatier [UT3]
Bravo, Elena [Auteur]
Istituto Superiore di Sanità = National Institute of Health [ISS]
Carpenter, Jane [Auteur]
The University of Sydney
Cohen-Nabeiro, Anna [Auteur]
Fondation pour la recherche sur la Biodiversité [FRB]
Delavaud, Aurélie [Auteur]
Fondation pour la recherche sur la Biodiversité [FRB]
de Rosa, Michele [Auteur]
Bioinformatics and Sequence Analysis [BONSAI]
Dollé, Laurent [Auteur]
Biothèque Wallonia-Bruxelles
Grattarola, Florencia [Auteur]
University of Lincoln [UK]
Murphy, Fiona [Auteur]
Murphy Mitchell Consulting LTD
Pamerlon, Sophie [Auteur]
Institut de Recherche pour le Développement [IRD]
Specht, Alison [Auteur]
Fondation pour la recherche sur la Biodiversité [FRB]
Tassé, Anne-Marie [Auteur]
Public Population Project in Genomics and Society [P3G]
Thomsen, Mogens [Auteur]
Institut des Maladies Métaboliques et Cardiovasculaires [I2MC]
Université Toulouse III - Paul Sabatier [UT3]
Institut National de la Santé et de la Recherche Médicale [INSERM]
Zilioli, Martina [Auteur]

Conference title :

assemblée MaDICS 2018

Conference organizers(s) :

icube strasbourg / bureau de MaDICS

City :

Strasbourg

Country :

France

Start date of the conference :

2018-11-20

Publication date :

2018-11-21

English keyword(s) :

credits
rewarding
MaDICS
Interoperable formats
accessible
data
Data sharing
Research Data Alliance

HAL domain(s) :

Environmental Sciences/Environment and Society
Sciences du Vivant [q-bio]/Ecologie, Environnement/Ecosystèmes
Informatique [cs]/Bio-informatique [q-bio.QM]
Informatique [cs]/Base de données [cs.DB]
Informatique [cs]/Technologies Émergeantes [cs.ET]

English abstract : [en]

The RDA-SHARC (SHAring Reward & Credit) interest group is an interdisciplinary volunteer member-based group set up as part of RDA (Research Data Alliance) to unpack and improve crediting and rewarding mechanisms in the ...
Show more >The RDA-SHARC (SHAring Reward & Credit) interest group is an interdisciplinary volunteer member-based group set up as part of RDA (Research Data Alliance) to unpack and improve crediting and rewarding mechanisms in the sharing process throughout the data life cycle. Background and objectives of this group are reported here. Notably, one of the objectives is to promote the inclusion of data sharing activities in the research (& researchers) assessment scheme at national and European levels. To this aim, the RDA-SHARC-IG is developing two assessment grids using criteria to establish if data are compliant to the F.A.I.R principles (findable /accessible / interoperable / reusable) based on previous works on FAIR data management (Reymonet et al., 2018; Wilkinson et al., 2018; and E.U.Guidelines*): 1/ The self-assessment grid to be used by a scientist as a ‘checklist’ to identify her/his own activities and to pinpoint the hurdles that hinder efficient sharing and reuse of his/her data by all potential users. 2/ The two-level grid (quick/extensive) to be used by the evaluator to assess the quality of the researcher/scientist sharing practice, over a given period, taking into account the means & support available over that period. Assessment criteria are classified according their importance with regards to FAIRness (essential / recommended / desirable) meanwhile good practices are recommended for critical steps. To implement a highly fair assessment of the sharing process, appropriate criteria must be selected in order to design optimal generic assessment grids. This process requires participation, time and input from volunteer scientists data producers/users from various fields.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Nationale

Popular science :

Oui

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL