Scientific data sharing and its impact on scientific careers and their evaluation

September 4, 2020 4:15 - 5:45


Recommendations exist, underlining the importance of sharing research data in the spirit of Open Science. Europe is a leader in this policy, e.g. with Plan S and Open Science Cloud. The Research Data Alliance (RDA) has such sharing as a priority objective. But still, data sharing does not work in many areas; this is even more the case for physical resources (biomedicine, biodiversity, ecology sciences). One of the reasons for this situation is the lack of recognition of the sharing activity itself with its various steps that may be complex and not well identified. One way to counteract this obstacle is by rewarding this activity. A valuable way to drive this is by including the sharing activity in the research assessment scheme.
Data sharing policies now often rely on the FAIR (Findable, Accessible, Interoperable and Reusable) Guiding Principles for scientific data management and stewardship, which are useful for traceability and crediting aspects. But although some surveys report the views of various stakeholders, the identification of the various steps of sharing activities and their reward as academic or innovating activities is poorly addressed. In this session we would like to investigate various aspects of data sharing in scientific careers and the implementation (or not) of FAIR principles, and, in line with the ESOF2020 motto, explore how this relates to freedom of research and to considering knowledge as a common.
The discussion will address:

How is research evaluation taking into account activities related to sharing data?
How and by which stakeholders is constructed and maintained the hierarchy of activities in research?
Are sharing activities efficient for career development and as seen by young scientists?
Are tools efficient in terms of criteria, metrics?
Are incentives adapted or an illusion?
What are the needs in training for actual sharing activities?

What are the values conveyed by Open Science?

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