Metadata Re-curation at NCAR's Research Data Archive Domain Repository

Metadata that are as rich and complete as possible are key to making research data FAIR (Findable, Accessible, Interoperable, and Reusable). The bulk of dataset metadata curation often happens when a dataset is initially deposited into a repository. Datasets can then reside in a repository for long periods of time while external changes occur - technological advances, updated and new metadata standards, etc. These changes can lead to new connections that can especially improve findability and reusability. To take advantage of these advances, metadata need to occasionally be re-curated, and re-curation work can take many forms. This presentation will focus on the metadata strategy employed by NCAR’s Research Data Archive and how it aids in metadata re-curation efforts that happen when needed. We will show examples of the tools that we use to re-curate our metadata, and how re-curation directly affects the FAIRness of our datasets.