Article describing name authority practices in institutional repositories at three universities -- University of North Texas, Texas A&M University, and the University of Arizona -- and how processes have been adapted in digital libraries to incorporate or be more compatible with linked data.

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.