FAIR Data And What It Means For Your Institution


The FAIR Data Principles are a set of guiding principles to make data findable, accessible, interoperable and reusable. These principles are being advocated widely in the Open Research and Open Science communities, with mandated FAIR data also being pushed by funding agencies such as the European Commission and the Health Research Board.

As a community, Irish HEIs must address these issues to ensure our researchers can publish in high quality journals, join larger international consortia and comply with funder requirements. There is also the principled position that publicly funded research should produce publicly
shared publications and data.

In this talk we will provide more detail on the concepts surrounding FAIR data, including a discussion of how FAIR applies to both human and machine operable data and some of the pitfalls that we have occasionally fallen into in this regard. We will then provide some data collection and publication case studies from within Trinity where we have tried to adhere to FAIR principles to greater and lesser degrees.

We will also discuss approaches we have taken in the Digital Repository of Ireland towards data services for the humanities and social sciences. The collection and preservation remit of the Digital Repository of Ireland (DRI) as a national trusted digital repository for social and cultural data has always extended to ‘...social science or qualitative data and research data from a range of Social Sciences and Humanities projects based in our academic consortium partners.

The DRI has been an active participant in a number of international consortia and collaborative projects to develop infrastructure and policy to support preservation and access to research data.

Finally, we will describe some of the technologies and tools that may be relevant to other institutions as they address the imminent data-apocalypse, and repeat the call made in 2016 that some joined up approach is taken to research data management on a national scale.