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http://dx.doi.org/10.3743/KOSIM.2011.28.1.309

A Study on Quantitative Measurement of Metadata Quality for Journal Articles  

Lee, Yong-Gu (계명대학교 문헌정보학과)
Kim, Byung-Kyu (한국과학기술정보연구원 지식기반실)
Publication Information
Journal of the Korean Society for information Management / v.28, no.1, 2011 , pp. 309-326 More about this Journal
Abstract
Most metadata quality measurement employ simple techniques by counting error records. This study presents a new quantitative measurement of metadata quality using advanced weighting schemes in order to overcome the limitations of exiting measurement techniques. Entropy, user tasks, and usage statistics were used to calculate the weights. Integrated weights were presented by combining these weights and were applied to actual journal article metadata. Entropy weights were found to reflect the characteristics of the data itself. User tasks presented the required metadata elements to solve user's information need. Integrated weights showed balanced measures without being affected by the influence of error elements, This finding indicates the new method being suitable for quantitative measurement of metadata quality.
Keywords
metadata quality; quantitative measurement; entropy; user task; usage statistics;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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