Skip to Main Content

Research Data Management

FAIR stands for: Findable, Accessible, Interoperable, and Reusable.


The FAIR principles were published in 2016 in the article FAIR Guiding Principles for Scientific Data Management and Stewardship. The principles were developed to support the discovery and reuse of research data. 


FAIR data principles are guiding principles on best practice to make the greatest use and reuse of data; they are a good framework to follow when creating a Data Management Plan (DMP).


Benefits for research(ers):

Making research data FAIR will provide a range of benefits to researchers, research communities, and research organisations, including:

  • Reaching maximum impact from research
  • Increasing the visibility and citations of research
  • Enhancing the reproducibility and reliability of research
  • Drawing new partnerships with business, policy and wider communities
  • Facilitating new research questions to be answered

Useful Resources:

FAIRsharing: a curated, informative and educational resource on data and metadata standards, inter-related to databases and data policies.

Force11 - The FAIR Data Principles: a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable.

How FAIR are your data? 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. 

GO FAIR RDM Starter Kit: a starter kit for RDM, listing resources to help researchers get started to organize their data.