Making data FAIR – findable, accessible, interoperable, reusable – is becoming more and more the standard expectation for European research projects.
The future European Open Science Cloud (EOSC) will also rely on FAIR data. To make this happen, EUA is a core partner of the FAIRsFAIR project funded through Horizon 2020.
FAIRsFAIR aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle with emphasis on fostering FAIR data culture and the uptake of good practices in making data FAIR. FAIRsFAIR will facilitate sharing of knowledge, expertise, guidelines, courses and education needed to turn the FAIR principles into reality.
On the technical level, the project seeks to support the development and certification of repositories. By doing so it will contribute to the broader change required to achieve widespread adoption of FAIR practices within the EOSC and beyond.
The objectives of FAIRsFAIR in a nutshell are to:
In FAIRsFAIR, EUA will lead a work package on the promotion of FAIR data competences and research culture. This includes a landscape analysis of FAIR-related higher education programmes, for instance in data science, the organisation of university focus groups, the creation of synergies with existing initiatives and the development of a FAIR competence framework. Later, these activities will be translated into education and training material such as model curricula, which will be supplemented by capacity building workshops aimed at universities.
EUA is implementing this work package together with the University of Minho in Portugal, the University of Göttingen (Sweden) and the University of Amsterdam (the Netherlands), supported by the Digital Curation Centre (DCC) and the Science and Technology Facilities Council (STFC) in the UK.
For more information, please visit the project website.
FAIRsFAIR has received funding from the European Union’s Horizon 2020 project call H2020-INFRAEOSC-2018-5-2018-2019 (c), grant agreement 831558.