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A Study on Quantitative Measurement of Metadata Quality for Journal Articles

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2011, v.28 no.1, pp.309-326
https://doi.org/10.3743/KOSIM.2011.28.1.309


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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
메타데이터 품질, 계량화 방법, 엔트로피, 이용자 과업, 이용통계, metadata quality, quantitative measurement, entropy, user task, usage statistics, metadata quality, quantitative measurement, entropy, user task, usage statistics

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Journal of the Korean Society for Information Management