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?:abstract
  • How good is a company's data quality? Answering this question requires usable data quality metrics. Currently, most data quality measures are developed on an ad hoc basis to solve specific problems [6, 8], and fundamental principles necessary for developing usable metrics in practice are lacking. In this article, we describe principles that can help organizations develop usable data quality metrics. ()
?:appearsInJournal
?:citationCount
  • 987 ()
is ?:cites of
?:cites
?:created
  • 2016-06-24 ()
?:creator
?:doi
  • 10.1145/505248.506010 ()
?:endingPage
  • 218 ()
?:estimatedCitationCount
  • 1621 ()
is ?:hasCitedEntity of
is ?:hasCitingEntity of
?:hasDiscipline
?:hasURL
?:issueIdentifier
  • 4 ()
?:language
  • en ()
?:publicationDate
  • 2002-04-01 ()
?:publisher
  • ACM ()
?:rank
  • 17207 ()
?:referenceCount
  • 11 ()
?:startingPage
  • 211 ()
?:title
  • Data quality assessment ()
?:type
?:volume
  • 45 ()

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