Good Practices in FAIR Competence Education
Report from the Fostering FAIR Data Practices in Europe project (FAIRsFAIR)
This report presents a collection of seven case studies describing how FAIR competences are being addressed through education and training programmes. The good practices offer examples of successful integration of Research Data Management (RDM) and FAIR data-related skills in university curricula and training to provide an up-to-date perspective on how these skills are being implemented by higher education institutions.
The Aim of the report is to provide universities with points of inspiration and practical examples of how fellow institutions and organisations in the higher education sector addressed the need for more RDM and FAIR data-related skills to be taught at the bachelor, master and doctoral levels. It does so by analysing external and internal drivers, steps for the implementation, invested capacity and the impact reached by the good practices.
The report was developed in the framework of the Fostering FAIR Data Practices in Europe (FAIRsFAIR) project, which aims to develop and supply practical solutions to support the implementation and use of the FAIR data principles throughout the research data lifecycle. In particular, it feeds into the efforts of the project’s Work Package 7 (WP7) which is led by EUA and focuses on “FAIR Data Science Curricula and Professionalisation”.
FAIRsFAIR has received funding from the European Union’s Horizon 2020 project call H2020-INFRAEOSC-2018-5-2018-2019 (c), grant agreement 831558.
