FAIR: What are the FAIR data principles?
FAIR refers to a set of attributes that enable and enhance the reuse of data (and other digital objects) by both humans and machines. The 'FAIR' acronym stands for:
- Findable
- Accessible
- Interoperable
- Reusable
The FAIR principles originated in the life sciences, but can also be applied to other disciplines. They are gaining much traction among various scientific stakeholders: for example, the principles are central to the Research Data Management (RDM) guidelines of European and other research funders.
Want to know more? Check out the knowledge clip below!
More information
- Ghent University RDM webpages
More tips
- DMPonline.be: How do I write a Data Management Plan? (Write)
- EU funding: Open Research Data for ERC grants - H2020 (Funding / GISMO)
- Open Research Data Pilot and research data management for Horizon 2020 projects (Funding / GISMO)
- Research Data Management: What is RDM? (Research integrity & ethics)
- The research data lifecycle: What is it? (Research integrity & ethics)
Last modified Sept. 15, 2023, 1:35 p.m.