FAIR Principles
According to the FAIR Principles, research data should be Findable, Accessible, Interoperable and Reusable. The main aim of the FAIR Data Principles is to ensure that research data is optimally prepared for use by both humans and machines.
“What do the FAIR principles mean for me as a researcher when it comes to archiving and publishing my data?”
- When depositing and/or publishing your data, choose a suitable Repository that assigns persistent identifiers (e.g. DOIs, Handles) to your research data.
- Provide metadata that is as precise and complete as possible.
- Use a controlled vocabulary, ontology or thesaurus specific to your field (if available).
- Link datasets to one another or to associated publications by specifying persistent identifiers.
- Assign appropriate licences to your research data to regulate its re-use.
- Apply community standards for the archiving of your research data (where available).
The University of Innsbruck also recognises the relevance of the FAIR principles in its Policy on Research Data Management and recommends the publication of research data in its Open Access Policy.
We would be happy to advise you on your specific project and the publication of your data.
How FAIR are my data? Find out using the Australian Research Data Commons’ Self-assessment tool.
FAIR data principles
Quelle: Ghent University Data Stewards (2020). Knowledge clip: FAIR data principles. CC by 4.0 international; Dauer: 4:54 Minuten