Approaches to identifying data quality issues: The role of the data broker

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dc.check.date2024-11-06en
dc.check.infoAccess to this article is restricted until 12 months after publication by request of the publisheren
dc.contributor.authorWibisono, Arifen
dc.contributor.authorSammon, Daviden
dc.contributor.authorHeavin, Ciaraen
dc.date.accessioned2023-11-28T16:22:52Z
dc.date.available2023-11-28T16:22:52Z
dc.date.issued2023-11-06en
dc.description.abstractData quality issues are problematic and costly for organizations. Employees (termed “Data Brokers”) must identify data quality issues before data are used for reporting purposes. In five field studies, we investigate how these employees identify these often-hidden data quality issues. Organizations can execute five “checking” approaches: data templates, supervisor validation, data accuracy, data consistency, and data completeness. We discuss each approach, theorize their inter-relationships, and explain their contributions to research and practice.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWibisono, A., Sammon, D. and Heavin, C. (2024) ‘Approaches to identifying data quality issues: the role of the data broker’, Information Systems Management, 41(3), pp. 226–237. Available at: https://doi.org/10.1080/10580530.2023.2274532.en
dc.identifier.doi10.1080/10580530.2023.2274532en
dc.identifier.eissn1934-8703en
dc.identifier.endpage237
dc.identifier.issn1058-0530en
dc.identifier.journaltitleInformation Systems Managementen
dc.identifier.startpage226
dc.identifier.urihttps://hdl.handle.net/10468/15270
dc.identifier.volume41
dc.language.isoenen
dc.publisherTaylor & Francis Groupen
dc.rights© 2023, Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Information Systems Management on 6 November 2023, available online: https://doi.org/10.1080/10580530.2023.2274532. This material is licensed under a Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) licence.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectData quality issuesen
dc.subjectField studiesen
dc.subjectData brokeren
dc.subjectManual identificationen
dc.subjectData curationen
dc.subject~Cork University Business School - Journal Articles~en
dc.titleApproaches to identifying data quality issues: The role of the data brokeren
dc.typeArticle (peer-reviewed)en
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