Use case

FAIRification of data in collaboration with Elixir NL

FAIR data principles are becoming an essential part of modern science. They promote open science by facilitating good data stewardship. FAIR stands for “Findable, Accessible, Interoperable, Reusable” and has the objective of making data findable and usable for a range of research in the long term.

An important part of FAIR principles is making existing and new datasets searchable by computers. Datasets coming from different sources can be combined (semi)-automatically using this method.

Read more about FAIR data and related projects at: