HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Poster communications

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)

Romain David 1 Laurence Mabile 2 Mohamed Yahia 3 Anne Cambon-Thomsen 4 Anne-Sophie Archambeau 5 Louise Bezuidenhout 6 Sofie Bekaert 7 Gabrielle Bertier 8, 2 Elena Bravo 9 Jane Carpenter 10 Anna Cohen-Nabeiro 11 Aurélie Delavaud 11 Michele de Rosa 12 Laurent Dollé 13 Florencia Grattarola 14 Fiona Murphy 15 Sophie Pamerlon 16 Alison Specht 11 Anne-Marie Tassé 17 Mogens Thomsen 18, 2, 19 Martina Zilioli 20
Abstract : 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.
Complete list of metadata

Contributor : Romain David Connect in order to contact the contributor
Submitted on : Wednesday, November 21, 2018 - 2:22:25 PM
Last modification on : Friday, April 1, 2022 - 9:36:44 AM
Long-term archiving on: : Friday, February 22, 2019 - 2:46:41 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Romain David, Laurence Mabile, Mohamed Yahia, Anne Cambon-Thomsen, Anne-Sophie Archambeau, et al.. 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). assemblée MaDICS 2018, Nov 2018, Strasbourg, France. 2018, ⟨10.5281/zenodo.1745374⟩. ⟨hal-01929834⟩



Record views


Files downloads