Library Research & Innovative Practice Forum

Permanent URI for this collectionhttp://hdl.handle.net/1903/16362

The Library Research & Innovative Practice Forum is an annual event in June featuring lightning talks, presentations, and poster sessions by UMD Libraries’ librarians and staff.

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    A Destination for DRUM Dataset Deposits: Creating the UMD Data Collection
    (2022-06-08) Buser, Allison
    As publisher policies and funding agencies increasingly require or encourage research data be made open for wider access and review, improving data collection and curation practices in institutional repositories has become commensurately necessary to support the needs of researchers and the goals of open scholarship. Since the Digital Repository at the University of Maryland’s (DRUM) launch in 2005, it has been utilized in archiving research datasets produced by UMD researchers. However, as noted by Durden & Buser in the 2021 LRIPF poster, “Uncovering Hidden Datasets in DRUM,” the repository’s general self-submission workflow lacks mechanisms to consistently collect essential identifying metadata as well as other metadata necessary for best practices in research data archiving. The UMD Data Collection was created in the summer of 2021 to address such issues. This poster outlines the design and implementation of the collection and its customized workflow to better enable future curation, management, and discovery of research datasets archived in DRUM.
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    Uncovering Hidden Datasets in DRUM
    (2021-06-03) Durden, David; Buser, Allison
    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.