Data sharing statements and promotion is a strong reality but challenging, especially when considering the many obstacles that remain on several fronts. Among these obstacles is the lack of relevant and recognized rewarding mechanisms for the very specific efforts required to share organized datasets and physical resources (Cambon-Thomsen et al., 2011; Mabile et al., 2016). The RDA-SHARC interest group is an interdisciplinary volunteer member-based group set up to unpack and improve crediting and rewarding mechanisms in the data/resources sharing process. The objectives are: 1/ To review the existing rewarding mechanisms and their limits in various scientific communities, and to identify key factors to improve the process and optimize the sharing of datasets and bioresources; i.e. data and physical samples (ex: tools, incentives, requirements...). 2/ To develop processes for stepwise adoption of principles and implementation measures tuned to national, local and institutional contexts. 3/ To rely upon this analysis to encourage the inclusion of physical bioresources sharing- related criteria in the research evaluation process at the European and national institutional levels; 4/ To disseminate information and findings to diverse communities of stakeholders;

Operationalizing and evaluating the FAIRness concept for a good quality of data sharing in Research

Martina Zilioli
2018

Abstract

Data sharing statements and promotion is a strong reality but challenging, especially when considering the many obstacles that remain on several fronts. Among these obstacles is the lack of relevant and recognized rewarding mechanisms for the very specific efforts required to share organized datasets and physical resources (Cambon-Thomsen et al., 2011; Mabile et al., 2016). The RDA-SHARC interest group is an interdisciplinary volunteer member-based group set up to unpack and improve crediting and rewarding mechanisms in the data/resources sharing process. The objectives are: 1/ To review the existing rewarding mechanisms and their limits in various scientific communities, and to identify key factors to improve the process and optimize the sharing of datasets and bioresources; i.e. data and physical samples (ex: tools, incentives, requirements...). 2/ To develop processes for stepwise adoption of principles and implementation measures tuned to national, local and institutional contexts. 3/ To rely upon this analysis to encourage the inclusion of physical bioresources sharing- related criteria in the research evaluation process at the European and national institutional levels; 4/ To disseminate information and findings to diverse communities of stakeholders;
2018
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
FAIR
data sharing reward
data sharing credit
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/352950
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