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Misinformation and Bias in Metadata Processing: Matching in Large Databases

Gail Thornburg, W. Michael Oskins


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.

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