3.1. 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).
Learning activities:
- After watching the video, take a quiz to test your knowledge about FAIR principles.
- 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.
- 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) .