Last year OpenAIRE ran three workshops around services to support FAIR data, designed to explore, discuss and propose recommendations on how existing data infrastructures can evolve and collaborate to provide services that support the implementation of FAIR data Principles, in particular in the context of building the European Open Science Cloud (EOSC).
Based on these workshops a report was released putting forward recommendations for data and infrastructure services providers to support Findable, Accessible, Interoperable, and Reusable (FAIR) research data within the broader context of the scholarly ecosystem. While the results are a work-in-progress, the challenges and priorities outlined in this report provide a detailed and unique overview of current issues seen as crucial by the community, with the potential to drive results through collaboration and incremental change.
The three workshops were jointly organised by the projects FAIRsFAIR, RDA Europe, OpenAIRE, EOSC-hub and FREYA.
The first two workshops’ aim was to examine common challenges for services in the scholarly and research data ecosystem to help make data FAIR. Discussions among the break-out groups on what should be expected from a data service in the FAIR ecosystem resulted in a set of initial recommendations on how existing data infrastructures can help develop a FAIR framework.
The third workshop seeked further feedback from a broader audience aiming for a set of practical guidelines to make services support FAIR. Priorities were set based on the list of recommendations by different stakeholder groups. Four recommendations stand out as being assigned at least medium priority by all, and top priority by two different groups.
Based on differences between stakeholder groups, the outcomes of the prioritisation-exercise varied, signaling the many simultaneous challenges of including FAIR in research data services and infrastructure.
The prioritising exercise was followed by a discussion about which actions should be taken to implement the recommendations. The selected priorities and subsequent actions discussed by the breakout groups formed the basis for a discussion on which stakeholders could take on the responsibilities in the services ecosystem for FAIR data for the various actions.
It has proven to be oftentimes challenging to associate more high-level recommendations with pointed, concrete actions and well-defined owners. This workshop series and report has endeavoured to make a start, while it is hoped that the results presented here will help direct the discussion and spur action, it will no doubt be part of a longer journey with further iterations on the formulation of these recommendations, priorities and actions.
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