• FAIR principles

    The increasing availability of online resources means that data need to be created with a long-term perspective in mind. Providing other researchers with access to your data facilitates knowledge discovery and improves research transparency.

    By the end of this module, you will be able to:

    • Identify key elements that help make research data discoverable, accessible, interoperable and reusable.
    • Understand how these key elements are used in different research disciplines and different research workflows.
    • Distinguish between FAIR data and open data.

    The material has been imported from Holmstrand, K.F., den Boer, S.P.A., Vlachos, E., Martínez-Lavanchy, P.M., Hansen, K.K. (Eds.) (2019). Research Data Management (e-Learning course). doi:10.11581/dtu:00000047


    Watch this introductory video from the eLearning course in Research Data Management brought by the Danish National Forum for Data Management (21 min).

    • Go to https://fairaware.dans.knaw.nl and do a self-test to find out how much you know about the FAIR principles (for the French version, click here)  
    • The test will take between 10 and 30 minutes depending on your current knowledge of the FAIR principles
    • If you still have questions about FAIR visit the FAIR Data Forum, a gateway to FAIR data practices and post your question to the wider research community.

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