We encourage all researchers to consider the FAIR Data Principles when depositing data, to maximize its use. FAIR data is:
Findable: includes rich metadata and a persistent identified (e.g. DOI) so that others can easily find and discover it.
Accessible: the data and metadata are understandable, so machines and humans can read and process it. Data also needs to be located in a trustworthy repository which preserves them in perpetuity.
Interoperable: the metadata are expressed in a formal, accessible, shared, and broadly applicable language, allowing sharing between different systems.
Reusable: data have a clear and accessible usage license that specifies reuse.
For more information on FAIR data read the FAIR data principles.