Symposium Count Down
-
January 9
-
FAIRification of data
Data FAIRification refers to the process of making data compliant with the FAIR principles, which aim to enhance the usability of data by making it Findable, Accessible, Interoperable, and Reusable. Findability of data means that it becomes easier for data users (both humans and machines) to locate the data they need. Increasing the accessibility of data means that once data users have located the data they need, they also know how to access it. Increasing the interoperability of data means that data from different sources becomes compatible and combinable with other datasets and tools or technologies. Increasing the reusability of the data means that the data can be used in future different research.
Find out more about the FAIRification principles with our course:
Course: FAIRification of (meta)data | HD Academy
-