Presentation for the 14th International Conference on Metadata and Semantics Research proposing a model that delineates the components of metadata improvement as an iterative cycle, based on the work and experiences at UNT.

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.

Presentation for Drexel University's "Metadata Mixers" series describing some of the features and tools that UNT Libraries have been implementing for metadata creation and assessment in the Digital Collections and how they all work together to support metadata activities.