DRUM has been available for UMD researchers to deposit research data since the mid-2000's but little mediation or curation has been performed on these materials to date. As the Libraries begin planning for a new collection within DRUM specifically for research data, the authors wondered how much research data had been deposited in DRUM as a supplemental file to an article, paper, or ETD rendering the data "hidden" from searches within DRUM. This poster presents two methodologies for querying records in DRUM, analyzing metadata to discover hidden datasets, and outlining the next steps for improving research data archiving and preservation in DRUM.
