AI-Assisted Review: Creative Solutions for Outdated E-Resource Data

Maintaining up-to-date and accurate information on electronic resources is a constant challenge, as resources merge or change hands, vendors acquire one another, marketing brings name changes, and schools negotiate bespoke packages. Greg Argo, Open Education & Affordable Content Librarian at Minitex, and practicum student Simon Deutsch will share a project addressing outdated records in Minitex’s Cooperative Purchasing and Electronic Resources Services (CPERS) database and workflows. Simon created an automated process—using JSON prompting, OpenRefine, Python scripting, and the Claude API—that reviewed more than 1,400 e-resource records, all without advanced coding skills. This session will highlight both the technical methods for wrangling AI tools and the implications for improving data quality and front-end services, offering takeaways for librarians interested in applying similar AI-driven approaches to their own data management challenges.