FAIR Data Management

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Comment: What is a Learning Pathway?
A graphic depicting a winding path from a start symbol to a trophy, with tutorials along the way
We recommend you follow the tutorials in the order presented on this page. They have been selected to fit together and build up your knowledge step by step. If a lesson has both slides and a tutorial, we recommend you start with the slides, then proceed with the tutorial.

The FAIR data management training learning pathway teaches you how to organise, describe, and store research data according to the FAIR principles (Findable, Accessible, Interoperable, Reusable).

Module 1: FAIR Data Management

This FAIR data management learning pathway empowers clinicians to effectively organise, document, and share patient data for research and improved care.”

Lesson Slides Hands-on Recordings
FAIR in a nutshell
FAIR data management solutions
Making clinical datasets FAIR

Module 2: FAIR Pointers

This learning path aims to teach you the basics FAIR data and signpost to other useful learning materials and resources. You will learn FAIR from the perspective of the 15 FAIR Principles published in 2016. You will learn about FAIR, its origins and the FAIR Principles using real examples of FAIR data in the public domain. The 15 FAIR Principles will be summarised using four encompassing characteristics: metadata, data registration, access and persistent identifiers.

Lesson Slides Hands-on Recordings
FAIR and its Origins
Data Registration
Persistent Identifiers

Editorial Board

This material is reviewed by our Editorial Board:

orcid logoSimone Leo avatar Simone Leoorcid logoLuca Pireddu avatar Luca Piredduorcid logoStian Soiland-Reyes avatar Stian Soiland-Reyesorcid logoPaul De Geest avatar Paul De Geestorcid logoKatarzyna Kamieniecka avatar Katarzyna Kamienieckaorcid logoKrzysztof Poterlowicz avatar Krzysztof Poterlowicz


These individuals or organisations provided funding support for the development of this resource