AAU
FAIR training materials
AAU
FAIR training materials
What are FAIR Principles?
FAIR principles are a set of guidelines for making research data Findable, Accessible, Interoperable, and Reusable. These principles aim to increase the value and impact of research by promoting good data management practices that enable data to be effectively shared, discovered, and reused by both humans and machines.
Learning Goals
- 1
Knowledge about the FAIR Principles - what they are and how to integrate them into your research activities.
- 2
Able to identify key elements in good data management and the advantages of working with your data handling process in a structured way
- 3
Acquaintance with ways to increase integrity and reproducibility in your research practice.
FAIR and Data Management
Videos
What is FAIR? - and why should you be interested in it?
How do you make your data interoperable? - and why is it important?
How do you publish your research output? 5 points
What is good data management? - and what is the value of it?
How do you write good data-handling practices into your applications?
