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EPIC:  A Proposed Model for Approaching Metadata Improvement (open access)

EPIC: A Proposed Model for Approaching Metadata Improvement

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.
Date: 2020
Creator: Tarver, Hannah & Phillips, Mark Edward
System: The UNT Digital Library