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A Study on Quantitative Measurement of Metadata Quality for Journal Articles

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2011, 28(1), pp.309~326
  • DOI : 10.3743/KOSIM.2011.28.1.309
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : March 18, 2011
  • Accepted : March 21, 2011
  • Published : March 30, 2011

LeeYong-Gu 1 Byungkyu Kim 2

1계명대학교
2한국과학기술정보연구원

Accredited

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.

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