17 December 2021

On Thursday 16 December, partners of FAIRsFAIR’s WP7 on “Data Science and Professionalisation” published the two final deliverables of the Work Package: the adoption handbook “How to be FAIR with your data: a teaching and training handbook for higher education institutions” and the report “Good Practices in FAIR Competence Education”.

The two documents represent practical tools for universities to develop new teaching and training activities that can support the uptake of research data management (RDM) and FAIR data skills at the bachelor, master and doctoral level.

Adoption handbook “How to be FAIR with your data – A teaching and training handbook for higher education institutions”

The adoption handbook provides ready-to-use model lesson plans on a variety of topics, including FAIR data, Data Management Plans (DMPs), repositories, data creation and reuse. In addition, it offers FAIR competence profiles and learning outcomes for the bachelor, master and doctoral levels as well as information on course design and the implementation of the FAIR principles on the institutional level. 

DOWNLOAD THE HANDBOOK HERE

Report “Good Practices in FAIR Competence Education”

The deliverable presents a collection of seven good practices highlighting stories of successful integration of Research Data Management (RDM) and FAIR data-related skills in university curricula and training. In this report, universities will find 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.

DOWNLOAD THE REPORT HERE


The handbook and the good practices report are deeply rooted in previous results and activities achieved by WP7 partners within their efforts to map and advance the integration of FAIR data skills in higher education curricula. These include: a landscape analysis mapping the state of play of FAIR data education in Europe; a desk research collecting a diverse set of FAIR data resources and initiatives available in Europe; the project’s “FAIR Competence Framework for Higher Education (FAIR4HE)” proposing core competences for FAIR data education.

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