According to the FAIR Data Principles, data should be: Findable, Accessible, Interoperable and Reusable. The FAIR Data Principles were developed and endorsed by researchers, publishers, funding agencies and industry partners in 2016, from a Nature Scientific Data publication, and are designed to enhance the value of all digital resources.
The benefits of FAIR data to the the broader research community are immeasurable and following the lead of the European Commission and Horizon 2020, Irish funders, such as the Health Research Board (HRB) and Irish Research Council (IRC) are now asking researchers how they will make their data FAIR, via a Data Management Plan (DMP).
A Checklist produced for use at the EUDAT summer school to discuss how FAIR the participant's research data were and what measures could be taken to improve FAIRness. Taken from Jones & Grootveld (2017).