Misinformation and Bias in Metadata Processing: Matching in Large Databases
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...
Main Authors: | , |
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Format: | Article |
Language: | English |
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American Library Association
2007-06-01
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Series: | Information Technology and Libraries |
Online Access: | https://ejournals.bc.edu/ojs/index.php/ital/article/view/3278 |
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author | Gail Thornburg W. Michael Oskins |
author_facet | Gail Thornburg W. Michael Oskins |
author_sort | Gail Thornburg |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-22T05:36:47Z |
format | Article |
id | doaj.art-ad23cd38be61449da1abb2079fc65a10 |
institution | Directory Open Access Journal |
issn | 0730-9295 2163-5226 |
language | English |
last_indexed | 2024-12-22T05:36:47Z |
publishDate | 2007-06-01 |
publisher | American Library Association |
record_format | Article |
series | Information Technology and Libraries |
spelling | doaj.art-ad23cd38be61449da1abb2079fc65a102022-12-21T18:37:19ZengAmerican Library AssociationInformation Technology and Libraries0730-92952163-52262007-06-01262152610.6017/ital.v26i2.32782946Misinformation and Bias in Metadata Processing: Matching in Large DatabasesGail ThornburgW. Michael OskinsThis 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.https://ejournals.bc.edu/ojs/index.php/ital/article/view/3278 |
spellingShingle | Gail Thornburg W. Michael Oskins Misinformation and Bias in Metadata Processing: Matching in Large Databases Information Technology and Libraries |
title | Misinformation and Bias in Metadata Processing: Matching in Large Databases |
title_full | Misinformation and Bias in Metadata Processing: Matching in Large Databases |
title_fullStr | Misinformation and Bias in Metadata Processing: Matching in Large Databases |
title_full_unstemmed | Misinformation and Bias in Metadata Processing: Matching in Large Databases |
title_short | Misinformation and Bias in Metadata Processing: Matching in Large Databases |
title_sort | misinformation and bias in metadata processing matching in large databases |
url | https://ejournals.bc.edu/ojs/index.php/ital/article/view/3278 |
work_keys_str_mv | AT gailthornburg misinformationandbiasinmetadataprocessingmatchinginlargedatabases AT wmichaeloskins misinformationandbiasinmetadataprocessingmatchinginlargedatabases |