Overview
Objective
Participants will understand the significance of rich metadata in the context of life sciences datasets, learn how to describe and search for datasets using metadata standards, and recognise the role metadata standards play in dataset discovery. The focus is on FAIR principle F2, which is primarily about discovery from both a generic and a domain-specific perspective.
Added value
The more generous and comprehensive datasets are described, both for humans and computers, the more specifically findable (in a meaningful way) it becomes in refined searches.
Impact for research
To do.
Lesson outline
References
- Metadata standards in FAIRsharing.
- FAIRsharing’s educational factsheet on standards
- Dataedo Data Cartoon cartoons on e.g. metadata
- FAIR4Software: https://zenodo.org/record/6574092#.YrwgQuxBz0o
- RDM 1-day workshop, life science early career: https://zenodo.org/record/4562630#.Yrwb4uxBz0o
- DMP course ELIXIR Norway
- FAIR course ELIXIR Norway
- https://doi.org/10.1016/j.patter.2021.100322
- FAIRsharing
- FAIR Cookbook
- RDMkit
- GOFAIR M4M
The terms4FAIRskills project has created a formalised terminology that describes the competencies, skills and knowledge associated with making and keeping data FAIR.