Abstract: This paper outlines iterative steps involved in metadata improvement within a digital library: Evaluate, Prioritize, Identify, and Correct (EPIC). The process involves evaluating metadata values system-wide to identify errors; prioritizing errors according to local criteria; identifying records containing a particular error; and correcting individual records to eliminate the error. Based on the experiences at the University of North Texas (UNT) Libraries, we propose that these cyclical steps can serve as a model for organizations that are planning and conducting metadata quality assessment.

This article looks at the role of the UNT Libraries as an essential service during the COVID-19 pandemic and shelter-at-home declaration in Denton County, Tx in the Spring of 2020.

Article shares the leadership lessons learned by a librarian who once served as a faculty member but then became an Associate Dean. Transitioning from a faculty role to an administrative one creates a landscape of learning that promotes growth and exposes challenges. This is the submitted/accepted manuscript version of the article.