Imagen de Portada
Código QR

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...

Descripción completa

Publicado en:Information Technology & Libraries Vol. 26; no. 2; pp. 15 - 27
Autores principales: Thornburg G, Oskins WM
Formato: Journal Article
Publicado: American Library Association Jun2007
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105876213&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 105876213
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        07309295
        ITL
      jtl: Information Technology & Libraries
      issn: 07309295
      maglogo: N
    pubinfo:
      dt: Jun2007
      vid: 26
      iid: 2
      pid: 55
      pub: American Library Association
      place: Chicago, Illinois
    artinfo:
      ui:
        105876213
        2009674233
        105876213
      ppf: 15
      ppct: 12
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Misinformation and bias in metadata processing: matching in large databases.
      aug:
        au:
          Thornburg G
          Oskins WM
        affil: Adjunct Professor at Kent State University; thornbug@oclc.org
      sug:
        subj:
          Cataloging Methods
          Metadata Utilization
          Reference Databases
          Cataloging Databases
          Cataloging Standards
          Information Retrieval
          XML
      ab: 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.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N