Misinformation and Bias in Metadata Processing: Matching in Large Databases

  • Gail Thornburg
  • W. Michael Oskins

Abstract

This article discusses structural, systems, and other types of bias that arise in matching new records to large databases. The focus is databases for bibliographic utilities, but other related database concerns will be discussed. Problems of satisfying a “match” with sufficient flexibility and rigor in an environment of imperfect data are presented, and sources of unintentional variance are discussed.

Published
2007-06-01
How to Cite
Thornburg, G., & Oskins, W. M. (2007). Misinformation and Bias in Metadata Processing: Matching in Large Databases. Information Technology and Libraries, 26(2), 15-26. https://doi.org/10.6017/ital.v26i2.3278
Section
Articles