Producing FAIR data
Tools and examples for making your code and data FAIR (Findable, Accessible, Interoperable, Reproducible).
Tools and examples for making your code and data FAIR (Findable, Accessible, Interoperable, Reproducible).
To help implement the FAIR principles, here are some examples and resources relating to data in physics and chemistry, as well as code and workflows.
Descriptors depend on the type of data, on the method and instruments used. Examples from CERN, ILL or Cambridge
Reuse of research data is often hindered by the computer formats used. Choose standards that are open or widely recognized by the community.