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Space Details

How to use this wiki?

This wiki is a practical guide on how to use FAIR principles on your data.

What is FAIR?

FAIR principles are created with the intention to improve the findability, accessibility, interoperability, and reuse of digital resources. An extensive elaboration of the FAIR principles can be found here. What you need to know about FAIR is (source):

F - findable

The first step in (re)using data is to find them. Metadata and data should be easy to find for both humans and computers. Machine-readable metadata are essential for automatic discovery of datasets and services, so this is an essential component of the process of making your data FAIR.

A - accessible

Once the user finds the required data, she/he needs to know how can they be accessed, possibly including authentication and authorisation.

I - interoperable

The data usually need to be integrated with other data. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing.

R - reusable

The ultimate goal of FAIR is to optimise the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.

Content

Space contributors