Open and FAIR data

Open Data is a movement within Open Science that works to ensure that data are openly accessible, exploitable, editable and shared by anyone for any purpose. Open data are licensed under an open licence.

In 2014 the Open Data movement was strengthened by the introduction of the FAIR data principles. This acronym stands for data that are Findable, Accessible, Interoperable and Reusable. As an early adopter and supporter of the FAIR data principles, DANS has been highly active in promoting the evolution of data management practices that ensure that all data are FAIR and that data are “as open as possible, as closed as necessary”.

Since their inception in 2019, we have also been a supporter of the affiliated CARE principles for the protection of indigenous data: Collective Benefit, Authority to Control, Responsibility, and Ethics.

We have been training on Open and FAIR data through projects such as FAIRsFAIR and FAIR-IMPACT, as well as our longstanding training in research data management. Through our work on FAIRsFAIR, we have also been involved in the development of FAIR-enabling tools for researchers and data managers, such as FAIRAware and F-UJI.

The main training run by DANS on Open and FAIR Data is a course we developed in collaboration with RDNL: Essentials for Data Support. You can follow it asynchronously online for free or sign up for one of the live training iterations.