FAIR Data Management

Comment: What is a Learning Pathway?

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.”

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.