Abstract
In 2022, staff at J. Murrey Atkins Library initiated a metadata remediation project project that inserted FAST controlled vocabulary terms for subjects into legacy ETD records in its Niner Commons repository through an automated process and normalized data in other elements, all with a view to improving discoverability and the user experience. This case study describes the stages of the remediation process, the difficulties that were encountered in the course of the work, the results and findings of the project, and the challenges of ETD metadata remediation work in the contemporary institutional repository environment.
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