[The Generalist Repository Ecosystem Initiative][1] (GREI), sponsored by the [NIH Office of Data Science Strategy][2], brings together seven generalist repositories (Dataverse, Dryad, Figshare, Mendeley Data, Open Science Framework, Vivli, and Zenodo) to enhance support for NIH data sharing and discovery in generalist repositories (GRs). Common metadata that supports interoperability across repositories is a key program objective of GREI. The GREI repositories have created a recommendation for metadata ([10.5281/zenodo.8101956][3]) that all repositories will implement, which will be updated based on community feedback and hopefully adopted by other repositories. GREI leveraged DataCite’s Metadata Schema as an existing standard already in use by the repositories. The GREI recommendation specifies particular fields that should be collected, included in public metadata, and sent to DataCite. It also makes recommendations about controlled vocabularies and persistent identifiers for funding, institutions, authors, and related work. Institutional repositories (IRs) are also an important part of the NIH data repository landscape and are similar to GRs in their flexibility to accept many types of data across disciplines. In fact, many of the GREI repository infrastructures also underlie IRs at academic institutions, thus as GREI repositories implement common metadata this enhances interoperability across the data repository landscape more broadly including IRs that use this infrastructure or catalog this data. GREI has compiled a catalog of use cases for sharing and finding data in GRs including their role serving as the infrastructure of IRs. This poster presents several examples of GR as IR use cases (e.g. Figshare, Harvard Dataverse, OSF) and demonstrates how GREI common metadata fields support data interoperability and discovery. Overall, interoperable metadata reduces silo-ing of data, improves the ease of deposit for researchers and data curators and discoverability of data sets, and enhances the ability to search for data across repositories and track its impact. [1]: https://datascience.nih.gov/data-ecosystem/exploring-a-generalist-repository-for-nih-funded-data [2]: https://datascience.nih.gov/ [3]: https://doi.org/10.5281/zenodo.8101957