Against the Grain
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Metadata remediation of digital collections is inevitable. At some point, each repository faces the need to clean-up digital collections legacy metadata so that it conforms to new standards. Typically, this need emerges either as a response to an updated metadata application profile, or as preparation for migration to a new digital asset management system (DAMS). Normalized metadata is critical for an improved search experience and easy discovery of digital objects.
This case study focuses on the University of Nevada, Las Vegas’ (UNLV) experience of cleaning up and preparing non-MARC metadata for migration to a new DAMS. The author shares her experience on cleaning up over 50,000 records in Excel for slightly over six months. Excel is a convenient, easily accessible tool with hundreds of free tutorials online. The remediation work utilizes various functions and formulas that are used to manipulate and optimize the metadata consistency.
Metadata clean up; Metadata remediation; Metadata clean up tool; Excel, clean data; Large data sets; Large-scale metadata cleaning; Legacy digital collections
Cataloging and Metadata | Library and Information Science
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Metadata Remediation of Legacy Digital Collections: Efficient Large-Scale Metadata Clean-Up with a Sleek Workflow and a Handy Tool.
Against the Grain, 33(1),