e-learning
Making clinical datasets FAIR
Abstract
The life science community is generally very good at sharing omics data on platforms such as GEO and ArrayExpress. However, the metadata and clinical data associated with the omics datasets are often incredibly sparse. Tracking down the meta- and clinical data of omics datasets can be time-consuming for both data owner and researcher and is a significant hurdle when trying to explore enriched omics data.
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
- Why make clinical data FAIR?
- How to make clinical data FAIR?
- test
Learning Objectives
- Learn how to make clinical datasets FAIR
- Recognise why FAIR datasets are important
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: 5
Status: Active
Prerequisites:
FAIR in a nutshell
Learning objectives:
- Learn how to make clinical datasets FAIR
- Recognise why FAIR datasets are important
Date modified: 2024-09-13
Date published: 2023-10-24
Contributors: Katarzyna Kamieniecka, Krzysztof Poterlowicz, Tim Beck
Activity log
