EPIC: A Proposed Model for Approaching Metadata Improvement

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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.

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29 p.

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Tarver, Hannah December 3, 2020.

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This presentation is part of the collection entitled: UNT Scholarly Works and was provided by the UNT Libraries Digital Projects Unit to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 109 times, with 4 in the last month. More information about this presentation can be viewed below.

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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.

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29 p.

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  • International Conference on Metadata and Semantics Research, December 2-4, 2020, Athens, Greece (virtual)

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EPIC: A Proposed Model for Approaching Metadata Improvement (Article)

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.

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EPIC: A Proposed Model for Approaching Metadata Improvement [Paper], ark:/67531/metadc1747971

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  • December 3, 2020

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  • Dec. 17, 2020, 10:56 a.m.

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  • Dec. 17, 2020, 9:49 p.m.

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Tarver, Hannah. EPIC: A Proposed Model for Approaching Metadata Improvement, presentation, December 3, 2020; (https://digital.library.unt.edu/ark:/67531/metadc1747970/: accessed March 21, 2023), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Digital Projects Unit.

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