FAIR data resources from around the web
The FAIR Guiding Principles for Scientific Data Management and Stewardship
The original 2016 paper that defined the FAIR principles. Published in the journal Scientific Data.
A stakeholder-driven initiative that aims to implement the FAIR data principles, making data findable, accessible, interoperable, and reusable.
How to Make Your Data FAIR
A guide for researchers from OpenAIRE.
A resource for the life sciences, with recipes to help make and keep data FAIR.
Information about data and metadata standards, databases and repositories, and data policies - helpful resources when thinking about making your data FAIR.
FAIR sharing and access
A module from the Mantra research data management training course.
How to FAIR
An online course exploring six aspects of FAIR data practice: documentation, file formats, metadata, access to data, persistent identifiers, and data licences.
FAIRsFAIR: Fostering FAIR Data Practices in Europe
A project aiming to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle.
Online training courses, including:
An open space to post queries, answers, comments and events notifications pertaining to making data FAIR.
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