[Laurence Mabile]

Collaborative session notes: https://docs.google.com/document/d/1tOKuc0WBwgVqzTUGffGY9pNIOLJGHmn-udhpmxqIKAs/edit
 
Part 1: Presentations
Topic 1: acknowledgement mechanisms along career
Some thoughts from the RDA Covid-19 set of recommendations, A. Cambon-Thomsen, Inserm-University of Toulouse.
Topic 2: data & resources sharing activities and evaluation scheme
First steps towards the inclusion of data sharing in the researchers’ evaluation scheme at the Italian Institute of Technology (IIT). Ugo Moschini, Valentina Pasquale, IIT
Knowledge Exchange Openness Profile: A reference model for the evaluation of open scholarship. Fiona murphy, MoreBrains Cooperative, UK.
 
Part 2: Interactive discussion

To get proposals from audience by way of interactive poll of ways / paths or rules to be efficient in implementing the 2 topics of the session, e.g.,    

– awards that could be created or shifted from “best paper” to “best dataset” where dataset is FAIR/CARE
– awareness of any open science practices being rewarded, f.ex. in job ads, tenure decisions?  
– introducing FAIRification /sharing activities in science training
– …

To prioritise these proposals with the audience

To start define recommandations targets and interactions

 
Conclusion:
Wrap-up and next actions

Additional links to informative material
> https://zenodo.org/communities/?p=sharc
> FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles:
   https://datascience.codata.org/articles/10.5334/dsj-2020-032/
 

Are you willing to hold your session at multiple times to accommodate various time zones?
No

Avoid conflict with the following group (1)
Professionalising Data Stewardship IG

Avoid conflict with the following group (3)
FAIR Data Maturity Model WG

Contact for group (email)
laurence.mabile@univ-tlse3.fr

Group chair serving as contact person
Laurence Mabile

Meeting objectives
Making data, resources & commons fully available and reusable implies to align with FAIR / CARE (& beyond FAIR) principles. This activity takes time, efforts and expertise that should be recognised and rewarded.
The meeting objective is to address at least the following reward related topics: 

Acknowledgement mechanisms along the scientist’s career (in papers, in communication supports, by mapping the re-use of data with relevant standards and metrics…)

Valuing the work and skills required: allocating resources (financial, material, human), more specific initiatives…

Considering data & resources sharing activities in the research evaluation scheme

How? By stimulating discussion with the audience on the current state of rewarding mechanisms & needs through short presentations (Part 1) and an interactive discussion (Part 2).

Other
we have not decided yet how we will hold the virtual session; we will know once speakers have confirmed their participation…

Please indicate the breakout slot (s) that would suit your meeting
Breakout 1, Breakout 2

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