Evaluating FAIRness practise: need for an integrated ecosystem of assessment linked to crediting and rewarding mechanisms.
Creators: name: Romain, David
name: Mabile, Laurence
name: Cambon-Thomsen, Anne
name: Tassé, Anne-Marie
Publisher: name: Zenodo
Year: 2019
Subjects: Findable, accessible, interoperable, reusable, FAIRness literacy,

description: <strong>Short introduction describing the scope of the group and if any previous activities </strong>

Data sharing statements and promotion face a challenging reality, as many obstacles remain on several fronts. Among them 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 group set up to unpack and improve crediting and rewarding mechanisms in the data/resource sharing process. The main objective is to encourage the adoption of data sharing activities-related criteria in the research evaluation process at the institutional, national and European/international levels. As a step forward, FAIR sharing assessment grids are being built by RDA-SHARC IG members. To be generic and trans-disciplinary, assessment grids should be understandable by all scientist including those who are not experts in data science. The two grids displayed as a tree-graph structure are 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 DMPs):<br>
1/ the self-assessment grid is conceived as a checklist for scientists to identify whether their own activities are compliant to FAIR principles and to pinpoint the hurdles that hinder efficient sharing and reuse of data.<br>
2/ the two-level grid (simplified / extensive) is conceived as a chart for the evaluator to assess the quality of the researcher/scientist sharing practices, over a given period of time, taking into account the means &amp; supports available over that period. Assessment criteria are classified according to their level of stringency regarding FAIRness (essential / recommended / desirable).<br>
The scope of this session is to build the stepwise processes required to enhance adoption of the proposed FAIR assessment grids-prototypes by the various stakeholders. The questions to be discussed are: What are the pros and cons of the proposed assessment prototypes/grids? What are the steps required by the various actors in the evaluation ecosystem for grids adoptions? How to use this ecosystem for credit and rewarding? Which levels of implementation should be considered? The next step would be to design a pilot use of the modified grids in order to gather empirical data.

<strong>Meeting agenda (for this presentation)</strong>

● Goals of the group’s project; current standing; objectives of the meeting: Introduction to the group? <br>
A. Cambon-Thomsen (FR) 10 min<br>
● Grids in SHARC recommendations, L. Mabile (FR) 5 min<br>
● Grids construction and structure, R.David (FR) 10 min
description: Additional links to informative material related to the group 

● Sharc group page: www.rd-alliance.org/groups/sharing-rewards-and-credit-sharc-ig
● SHARC Posters: https://zenodo.org/record/1745374#.XA-v6HRKg2w
● Simplified poster grid : https://zenodo.org/record/1995646#.XA-wpXRKg2w