
Written by Mareike Buss
Research data should be findable, accessible, interoperable, and reusable, in short: FAIR. This is the gist of the “FAIR Guiding Principles for Scientific Data Management and Stewardship”.
Even though the acronym FAIR sounds catchy, the FAIR principles are quite technical and tricky, once you start looking at the details.
The new educational website www.howtoFAIR.dk, brought to you by the Danish National Forum for Data Management, gives you a practical introduction to the FAIR principles by showing you how to make your research data (more) FAIR.
The website takes you on a deep dive into the subject matter of FAIR research data. Over the course of about two hours, you will be guided through the steps you can take before, during, and after your research project to help you produce FAIR research data.
In short video clips, you will meet researchers from Engineering, Health Sciences, Humanities, and Social Sciences, who demonstrate how they have made their data FAIR. You will find recommendations, guidelines, and examples for quantitative, qualitative, and sensitive research data.
Curious?
Take a look at the website trailer
Already know everything there is to know about FAIR?
Test yourself with the FAIR quiz
If you have any questions, please contact Mareike Buss