Making data FAIR is key for research reproducibility and can accelerate your research impact. But, what does it mean to make your research data and software more FAIR? And importantly, how to do it?
Below you can find valuable information, tools and tips to understand and implement the FAIR principles to your research data & software.
Knowledge: What is FAIR?
Tool: Self-Assessment FAIR Data
Guide: How to make your data FAIR?
In this page from RDM Support you can find information on how to FAIRify your data.
Tool: FAIR Cheatsheets
Use these cheatsheets, prepared by the UU library team, to FAIRify your data and software.
Tip: FAIR by design
Start with FAIR early on and plan for data management in your research project.
Tip: Good FAIR Practices
In this page researchers share their experiences with FAIR. You can find here examples of good practices on FAIR data and software at UU.
Do you have questions or doubts or would like to plan a 1 – 1 consultation?