FAIR principles are designed to make research data more discoverable, both by humans and machines, and to promote wider sharing and reuse of data. They can be applied to digital data from any discipline. FAIR stands for
- Findable
- Accessible
- Interoperable
- Re-usable
Working towards making research data more FAIR provides many benefits including:
- increasing the visibility and citations of your research
- improving the reproducibility and reliability of your research
- enabling new innovative research approaches and tools
- aligning with international standards and approaches