Duration: 2,5 hours
Goal: To obtain a practical understanding of what 'FAIR data' means for a researcher, to learn about and practise some of the steps that can be taken to achieve that
Prerequisites: Basic understanding of working with spreadsheets; understand and have some experience with producing experimental data
Learning outcomes
- What is FAIR and open data and why are these important
- How to format spreadsheet data to be interoperable and re-useable
- Annotating research data with controlled vocabularies
- Providing provenance for research data
- A FAIR checklist
Files/Documents
ISCED Categories
Personal skills and communication
Project management
Ocean Literacy
Bioinformatics