This blog post was originally published on the OpenAIRE blog on 30th September 2019 available at https://www.openaire.eu/blogs/2019-09-30-12-46-02
Earlier this year, two workshops were held to formulate recommendations on how services and infrastructures can better support the implementation of the FAIR data principles1. The input and conclusions from both workshops were analysed to form the basis for a draft report 'Services to support FAIR data: Draft report and recommendations'. As a conclusion to the previous workshops, a third workshop was organized during the Open Science Fair in Porto, Portugal, in collaboration with OpenAIRE, FAIRsFAIR, RDA Europe, FREYA, and EOSC-hub.
The third workshop in the series was designed to explore, discuss and propose recommendations on how existing data infrastructures can evolve and collaborate to provide services that support the implementation of the FAIR principles for research data, in particular within the context of building the European Open Science Cloud (EOSC).
The objective of the workshop was to prioritize the recommendations gathered by the community in the two preceding workshops - and then to move beyond recommendations and formulate some clear, pointed actions along with a view on who should be taking these actions forward.
Participants prioritizing areas for action!
At the start of the workshop the draft report was briefly introduced, as basis for the discussion and break-out groups of the workshop. After presenting the list of recommendations, participants split up in three groups: service providers, research institutions and libraries.
The break-out groups started with a priority setting activity: each participant could place ten stickers on posters which listed the recommendations. The total number of stickers for a recommendation determined its ranking. The prioritizing exercise was followed by a discussion about which actions should be taken to implement the recommendations. Before the three breakout groups congregated again, the top action was selected and further discussed.
The highest ranked top priorities and related actions as compiled by different groups are given in the table below:
Consider FAIR compliance and data sharing as part of research assessment, among other criteria
|Infrastructures should be evaluated and rewarded to be FAIR by e.g. incentives and increasing visibility as a rewarding system to researchers who apply the FAIR principles to their research
|Domain-specific ontologies, as domain-specific requirements have to be taken into account
|Identify disciplines which don't have ontologies and create awareness for the Bartoc registry and enrich it.
Create practical guidelines
on how to enable FAIR
|Identify and present cost of developing supporting infrastructure including human resources
Panel discussion on actions
- Ian Duncan (Australian Research Data Commons),
- Françoise Genova (Centre de Données Astronomiques de Strasbourg; EOSC FAIR WG),
- Odile Hologne (French Institute for Agricultural Research; EOSC Rules of Participation WG; FAIRsFAIR Champion),
- Rachael Kotarski (The British Library; EOSC FAIR WG; the FREYA project)
- Tobias Weigel (DKRZ; EOSC Architecture WG; FAIRsFAIR champion)
The panel observed that the selected actions of the prioritizing exercise sometimes resembled other recommendations. The connection between different recommendations may not come as a surprise and signals that the intertwined ecosystem of services can make FAIR a reality by collaboration and solutions might have positive outcomes on other issues in the FAIR data research cycle.
The discussion in the final part of the session focused on responsibilities and roles of different stakeholders. User requirements were put forward as strong incentives, as was the professionalization of data management and the role of data stewardship herein. Often neglected in discussions, national libraries should and can be more involved in discussions and events around FAIR.
Another critical point was the opportunity and responsibility of services to simplify the process of making data FAIR. It was concluded that making data FAIR is not the sole responsibility of the researcher but should be a common effort of research institutions, funders, service providers and experts.
The results of the breakout groups and panel, in combination with the conclusion of the previous workshops, will be used as input to finalize a report with recommendations on services to support FAIR data. The final version of the report is intended for submission to the EOSC Working Group on FAIR.
1 Workshop 1, April 12 2019, Prague (EOSC-hub week https://www.eosc-hub.eu/events/eosc-hub-week-2019/programme/services-support-fair-data). Workshop 2, April 24 2019, Vienna (Linking Open Science in Austria https://linkingopenscience.univie.ac.at/agenda/).