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Metadata quality assessment: A phased approach to ensuring long‐term access to digital resources
Author(s) -
Alemneh Daniel Gelaw
Publication year - 2009
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.2009.1450460380
Subject(s) - metadata , computer science , workflow , usable , world wide web , quality (philosophy) , quality assurance , digital library , information retrieval , data science , service (business) , database , business , art , philosophy , literature , poetry , epistemology , marketing
Maintaining usable and sustainable digital collections necessitates maintaining high‐quality metadata about those digital objects. The two aspects of digital library data quality are the quality of the data in the objects themselves, and the quality of the metadata associated with the objects. Because poor metadata quality can result in ambiguity, poor recall and inconsistent search results, the existence of robust quality assurance mechanisms is a necessary feature of a well‐functioning digital library. In order for end users to benefit fully from the development of digital libraries, responsible and viable service providers need to address metadata quality issues. Based on the University of North Texas Libraries experiences, this paper discusses issues related to metadata quality management and demonstrates a number of tools, workflows and quality assurance mechanisms.

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