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Research Data Service: FAIR

We are a university wide resource which supports and promotes best practice in data management.

FAIR Guiding Principles for scientific data management and stewardship

The first publication on the FAIR principles was Wilkinson et al., 2016 and there have been many since. FAIR stands for findable, accessible, interoperable and reusable. These principles are intended as guidelines for best practice in the management and stewardship of research data with a focus on facilitating sharing and reuse of valuable research outputs. Infrastructure and services to support this new facet of the research process are still in development but here in UCC the Research Data Service can help with any questions you have on how to make your data FAIR.



The Essential Characteristics of FAIR Data

There are 4 characteristics of FAIR data, it should be Findable, Accessible, Interoperable, and Reusable. To ensure your data is FAIRified each component contains a description of what criteria you need to achieve. Click on the images or words below for a brief video describing what those criteria are and some practical tips on how to implement them.