Find out how you can make your data FAIR - guided step-by-step.
How to use this wiki?
This wiki is a practical guide on how to use FAIR principles on your data. Data that we published using these principles can be found in the Deltares Data Portal.
Navigate with the side-bar on the right.
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.
