Training: FAIR principles in practice for health data

The FAIR principles have been developed to enable a better data management and stewardship in research by Wilkinson et. al. in 2016. They consist of a list of necessary criteria for making data Findable, Accessible, Interoperable and Reusable. However, the understanding of these principles and their concrete implementation can sometimes be abstract and difficult.

In this training we offer a detailed example of the implementation of FAIR principles, demonstrating how the different principles and criteria have been applied to the various components of the SPHN framework.

Please visit the Training page to access the recording and additional information -

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