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
Course of study
Interested
Scientists
Study staff
keywords
Analyses
Analysis data
Information tool
Analysis data
Information tool
Preview image