The FAIR Data Principles
@ SangyaPundir, CC BY-SA 4.0, via Wikimedia Commons
The FAIR principles are a set of guidelines aimed at improving the management, sharing, and reuse of digital assets, including data and metadata. They emphasize the need for assets to be:
- Findable: Data should be easy to find for both humans and computers. Unique identifiers and detailed metadata enhance the findability of data.
- Accessible: Once found, data should be accessible with well-defined access conditions, whether open or under specific restrictions.
- Interoperable: Data should be stored in formats and with vocabularies that ensure it can be integrated with other data, allowing for seamless exchange and reuse among researchers.
- Reusable: Data should be well-documented and released with clear usage licenses to ensure they can be reused in different contexts.