e-learning
FAIR in a nutshell
Abstract
The FAIR (Findable, Accessible, Interoperable, Reusable) principles emphasize machine-actionability. The main objective of FAIR is to increase data reuse by researchers. The core concepts of the FAIR principles are based on good scientific practice and intuitively grounded.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- What do the FAIR principles stand for Wilkinson et al. 2016?
- How to make data FAIR?
Learning Objectives
- Learn the FAIR principles
- Recognise the relationship between FAIR and Open data
Licence: Creative Commons Attribution 4.0 International
Keywords: FAIR Data, Workflows, and Research, data stewardship, fair, open
Target audience: Students
Resource type: e-learning
Version: 6
Status: Active
Learning objectives:
- Learn the FAIR principles
- Recognise the relationship between FAIR and Open data
Date modified: 2024-04-30
Date published: 2023-05-30
Contributors: Helena Rasche
External resources:
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