Fostering FAIR Data Practices in Europe

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.

Within the project, EUA is leading a work package on “FAIR Data Science and Professionalisation” (WP7). FAIRsFAIR WP7 aims to support higher education institutions to sustainably increase their capacity to equip more students and doctoral researchers with FAIR data-related skills and competences. To achieve this, the activities of WP7 are centred around four main objectives:

  • Map the integration of the FAIR data principles in data science and other curricula in universities and analyse the landscape of available FAIR data training in Europe.
  • Deliver a FAIR data competence framework for higher education and professionals to support the development of a FAIR data culture and the uptake of the FAIR data principles in data science and other relevant disciplines.
  • Translate the competence framework into model curricula and university courses for different disciplines (e.g. data science) and professional profiles (e.g. data stewards).
  • Support embedding FAIR data education in university programmes and doctoral training through a series of workshops and knowledge-sharing activities.


For more information, please visit the project website.

For questions about FAIRsFAIR and the involvement of EUA, please contact This email address is being protected from spambots. You need JavaScript enabled to view it..

ec logoFAIRsFAIR has received funding from the European Union’s Horizon 2020 project call H2020-INFRAEOSC-2018-5-2018-2019 (c), grant agreement 831558.

  • Results and solutions for universities

    FAIRsFAIR WP7 ultimately aims to foster the uptake of FAIR data-related skills and material in university curricula and programmes across levels and disciplines. To do so, project partners involved in WP7 have developed two practical tools guiding universities in developing new teaching and training activities that can support the ability of students and researchers to put the FAIR principles into practice.

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

    The 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. Furthermore, 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. The handbook is available in three versions: as a project deliverable on Zenodo, as an Open Access PDF and as a print publication.

    • The 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. The report is available on Zenodo, 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:

  • Workshops series

    To promote the results and gather feedback for the deliverables, WP7 organised two series of workshop to bring results from FAIRsFAIR closer to universities and key stakeholders and gather feedback from the community.

    Stakeholder workshops

    This series of three online workshops explored different topics related to FAIR data education and was organised in collaboration with stakeholder organisations in the field of higher education and research to maximise synergies and foster cooperation.

    Results from the workshop are available here. The recording of the event can be found here.

    Results from the workshop are available here. The recording of the event can be found here.

    Results from the workshop are available here. The recording of the event can be found here.

    University workshops

    EUA together with partners from FAIRsFAIR WP7 organised three online workshops to support higher education institutions in embedding FAIR competences in their curricular and research training programmes.

    Results from the workshop are available here. The recording of the event can be found here (day 1) and here (day 2).

    Results from the workshop are available here. The recording of the event can be found here.

    Results from the workshop are available here. The recording of the event can be found here.

  • Background

    The FAIRsFAIR project addresses the development and concrete realisation of an overall knowledge infrastructure on academic quality data management, procedures, standards, metrics and related matters, based on the FAIR data principles.

    FAIRsFAIR will play a key role in the development of global standards for FAIR certification of repositories and the data within them contributing to those policies and practices that will turn the EOSC programme into a functioning infrastructure. By the end of its activities, FAIRsFAIR will provide a platform for using and implementing the FAIR principles in the day-to-day work of European research data professionals and repositories.

    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:

    • Improve interoperability of FAIR resources;
    • Increase production and use of FAIR data;
    • Develop a capability maturity model towards FAIR certification;
    • Build a network of Trusted Digital Repositories;
    • Set up a FAIR competences centre for scientific communities;
    • Embed FAIR data education in university programmes.
  • Key facts about FAIRsFAIR:

    • Starting date: March 1, 2019
    • Duration: 36 months
    • 22 partners from 8 member states
    • 6 core partners: DANS-KNAW (project coordinator), CSC – IT Center for Science, the Digital Curation Centre (DCC), Trust-IT, the Science and Technology Facilities Council (STFC), and EUA
    • WP7 partners: University of Minho (Portugal), the University of Göttingen (Germany) the University of Amsterdam (The Netherlands), DCC (United Kingdom) and the STFC (United Kingdom).


  • FAIRsFAIR project publishes FAIR teaching and training adoption handbook and good practices report

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    05 January 2022

    In December 2021, partners of FAIRsFAIR’s WP7 on “Data Science and Professionalisation” publis...

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  • Good Practices in FAIR Competence Education


    31 December 2021

    This report presents a collection of seven case studies describing how FAIR competences are being ad...

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  • Registration is open for the public session of the FAIRsFAIR Final Event 2022

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    02 December 2021

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  • Learning lessons from FAIR data implementation. Good practices from universities across Europe

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    15 September 2021

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  • FAIRsFAIR-CODATA-RDA Data Steward Training series

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    26 May 2021

    The FAIRsFAIR project, in partnership with the CODATA-RDA schools, is organising a Data Steward trai...

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  • FAIRsFAIR open call for policy enhancement support

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    09 December 2020

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  • EUA partners in European action to make research data FAIR


    21 February 2019

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