What are FAIR?
The FAIR principles are international guidelines that help make research more accessible, understandable and reusable.

FAIR stands for:
Findable – (research should be findable by both humans and machines)
Accessible – (research should be available)
Interoperable – (research should be described through accepted standards, formats and vocabularies)
Reusable – (research should be usable by others)
The FAIR principles have initially been mostly linked to research data but are now a central part of the work with open science, both internationally and at Swedish universities.
What does FAIR mean to me as a researcher?
General
- The FAIR principles affect the research process from start to finish.
- Many research funders, such as the Swedish Research Council, Forte and the EU's Horizon Europe, require that research data be managed according to FAIR.
- Based on the different principles, there are different things to consider, see the headings below.
Findable
- Research results should have so-called persistent identifiers (PIDs), so that they can be easily found. Examples of PIDs are DOI, ISBN, etc.
- The description of the publication or data, so-called metadata, should be clear, structured and machine-readable.
- Publish in trusted databases and repositories
Accessible
Research data can have different access levels, but metadata should always be accessible, even if the data itself cannot be shared openly (e.g. in the case of sensitive personal data).- Ensure that data is accessible by using open, commonly used and machine-readable file formats that can be opened with standard or open source software.
Interoperable
- Data and metadata should use accepted standards, formats and vocabularies so that they can be combined and used together with other data and by different systems.
- If the researcher has an ORCID ID, this should be stated in the publication or with the data.
Reusable
- Clear documentation about the research to enable reuse.
- Information about licenses, e.g. Creative Commons, and conditions for how the research can be used by others.
- Good data management throughout the data lifecycle, e.g. clarity about who manages your data if you change workplace.
More information
- The FAIR principles (Swedish National Data Service)
- FAIR principles (Go FAIR)