FAIR Data vs. Open Data
FAIRstands for Findable, Accessible, Interoperable and Reusable and refers to sustainable research data management. The main goal of the FAIR data principles is to optimise the preparation of research data, making it findable, accessible, interoperable and reusable.
Open Data – Free primary research data
The free availability and usability of data on the web is often referred to as open data. It is data that has been made available without any restriction for free use, further dissemination and free reuse. Various licences can be used to identify data as open data. read more
The FAIR Principles and Open Data
FAIR data is not the same as open data. For example, it is not always possible to grant free access to data for economic and legal reasons. Restrictions on access are compatible with FAIR principles, as long as the conditions and ways of access are evident.
Duration: 2:09 mins
Content: This video explains the difference between data that complies with the FAIR data principles and open data, which is freely accessible to anyone.
Maastricht University (2020). The FAIR principles explained. Powered by DeiC and Deff.
License: CC BY 4.0
- FAIR self-assessment tool: With this free online tool you can evaluate the “FAIRness” of a data set by answering questions about the individual aspects of FAIR.
- How to Make Your Data FAIR: You can find more tips on making your data FAIR on the OpenAIRE (Link OpenAIRE) website.
License: CC BY 4.0 unless otherwise stated
FAIR Data Austria (2021). “FAIR data vs. Open Data”. In: Research Data Management Open Educational Resources Collection. (https://fair-office.at/index.php/fair-data-vs-open-data/?lang=en).