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:
- 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).Learning activities
- After watching the video, take a quiz to test your knowledge about FAIR principles.
Go to FAIR-Aware to find out how much you know about the FAIR data principles. Become more confident at putting them in practice. The test will take between 10 and 30 minutes depending on your current knowledge. Use the provided guidance to plan and manage your research data.
- Data repositories provide an easy way to publish your data following the FAIR principles. They play a central role in making your data discoverable for reuse by others or finding someone else’s data. Use the websites below to find a fitting repository and define your criteria for the suitable repository (think of the domain and trustworthiness):