Abstract
In 2019 the University of Miami implemented the Esploro platform as its institutional repository (Scholarship@Miami), which includes, open access research and scholarly works created by faculty, students, and staff of the University. The repository showcases researchers’ profiles, research collections, academic units, and diverse asset types across the university. As a pilot initiative, the Music Library began digitizing its collection of theses and dissertations. This stemmed from an ongoing reorganization of the Music stacks. While processing the theses, briefly catalogued in Alma, the records would need updated metadata for ingest to Esploro. After trial and error, the MARC records were mapped to the Esploro CSV format using a python script built with Chat GPT. This presentation will cover UM’s background with Esploro, the creation and execution of the music theses digitization project and how Chat GPT helped with the mapping and subsequent ingest to Esploro.