AAU

FAIR training materials

Find information, tools and training for working with FAIR data management.

AAU

FAIR training materials

Find information, tools and training for working with FAIR data management.

What are The FAIR Principles?

The 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.

FAIR 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?

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?

FAIR Data Management tools and guidance

CESSDA Data Management Expert Guide (SSH)

Scope: Basic introduction to DMEG – primarily aimed at the SSH area. Level: For everyone.

F-UJI assesment

F-UJI is a web service to programatically assess the FAIRness of research data. Plot in a datasets URL/PID and the F-UJI Tool will evaluate the FAIRness of the dataset according to 17 parameters.

Guide to Vocabularies and Research Data

This guide explains what vocabularies are and how they are useful in
supporting research. It is intended for those needing a deeper understanding of research vocabulary use.