Data harmonisation: FAIR principles


Description
For data-driven and evidence-based decision-making, it is essential that the data complies with the FAIR principles. Adhering to these principles improves data discoverability, accessibility, interoperability, and reusability.



Type
Homepage
Subtypes
Information website
Focuses
Generally applicable

Topics
Data analysis

Contacts

User groups / addressees
Cooperation partner
Course of study
Interested
Scientists
Study staff

keywords
Analyses
Analysis data
Information tool


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