e-learning
FAIRification of an RNAseq dataset
Abstract
RNA sequencing is chosen here as an example of how to FAIRify data for a popular assay in the Life Sciences. RNAseq data can be shared and curated in designated public repositories using established ontologies (and controlled vocabularies) for describing protocols and biological material (metadata).
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
- How can an RNAseq dataset be made FAIR?
- How are the FAIR principles put into practice with a data-type used commonly in the Life Sciences?
Learning Objectives
- To be able to map each of the FAIR principles to a dataset in the public domain
Licence: Creative Commons Attribution 4.0 International
Keywords: FAIR Data, Workflows, and Research, data stewardship, dmp, fair
Target audience: Students
Resource type: e-learning
Version: 1
Status: Active
Prerequisites:
- Access
- Data Registration
- FAIR and its Origins
- Metadata
- Persistent Identifiers
Learning objectives:
- To be able to map each of the FAIR principles to a dataset in the public domain
Date modified: 2024-03-27
Date published: 2024-03-27
External resources:
Activity log
