/
Annotating Datasets with Metadata

Annotating Datasets with Metadata

Owned by Mojib Javadi
Feb 25, 2025
1 min read

Metadata annotation schemas are pieces of code defined by a Dataset author to describe the Dataset in a machine-readable structure that can be used by search and query engines to facilitate future discovery and reuse by the research community. Annotating your Dataset with metadata annotation schemas promotes findability and interoperability. Adding metadata annotation schemas does not change the actual content of the data itself.

Several options are available to annotate your Dataset.

  • Default Schema: Standard annotation categories that apply to a wide range of research domains and make your Dataset interoperable with common models like DAta Tag Suite (DATS).  

  • Custom Schemas: Flexible schemas where the metadata elements are defined entirely by you.

Changes to your Dataset's metadata are tracked in the Activity tab (see Viewing Dataset History). When new versions of your Dataset are released, the metadata definition at the time of release is stored and will be available to download as part of that version.