Approaches to Identifying Data Quality Issues: The Role of the Data Broker

IF 3 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Systems Management Pub Date : 2023-11-06 DOI:10.1080/10580530.2023.2274532
Arif Wibisono, David Sammon, Ciara Heavin
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We discuss each approach, theorize their inter-relationships, and explain their contributions to research and practice.KEYWORDS: Data quality issuesfield studiesdata brokermanual identificationdata curation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsArif WibisonoArif Wibisono is an Assistant Professor in Information Systems Department, Institut Teknologi Sepuluh Nopember, Indonesia. He received his PhD from Business Information Systems Department, University of College Cork, Ireland (2023), his MS degree in Logistics Information Technology from Pusan National University, Korea (2011) and his BS degree in Information Systems from Institut Teknologi Sepuluh Nopember (ITS), Indonesia (2007). Arif won several scholarships for his studies such as Irish Government Scholarship (GOI) - International Education Scholarship (IES) - 2018, Cork University Business School (CUBS) Scholarship - 2018, Korean Government Scholarship (2008), and Indonesian Directorate of Higher Education (DIKTI) Scholarship (2008). Now, Arif is the Managing Editor for Journal of Decision Systems (Taylor and Francis, UK).David SammonDavid Sammon is a Professor of Information Systems, a self-confessed visual thinker (placing a great value in taxonomical thinking) and works to the adage that “if you can’t draw it, you don’t understand it!” David has 25 years of teaching/research experience in Business Information Systems (BIS), University College Cork (UCC), Ireland. Throughout his career David has designed and directed several educational programmes for postgraduate and executive audiences. Since 2010, David has advocated for the Action Design Research (ADR) approach to applied problem solving. 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Abstract

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.KEYWORDS: Data quality issuesfield studiesdata brokermanual identificationdata curation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsArif WibisonoArif Wibisono is an Assistant Professor in Information Systems Department, Institut Teknologi Sepuluh Nopember, Indonesia. He received his PhD from Business Information Systems Department, University of College Cork, Ireland (2023), his MS degree in Logistics Information Technology from Pusan National University, Korea (2011) and his BS degree in Information Systems from Institut Teknologi Sepuluh Nopember (ITS), Indonesia (2007). Arif won several scholarships for his studies such as Irish Government Scholarship (GOI) - International Education Scholarship (IES) - 2018, Cork University Business School (CUBS) Scholarship - 2018, Korean Government Scholarship (2008), and Indonesian Directorate of Higher Education (DIKTI) Scholarship (2008). Now, Arif is the Managing Editor for Journal of Decision Systems (Taylor and Francis, UK).David SammonDavid Sammon is a Professor of Information Systems, a self-confessed visual thinker (placing a great value in taxonomical thinking) and works to the adage that “if you can’t draw it, you don’t understand it!” David has 25 years of teaching/research experience in Business Information Systems (BIS), University College Cork (UCC), Ireland. Throughout his career David has designed and directed several educational programmes for postgraduate and executive audiences. Since 2010, David has advocated for the Action Design Research (ADR) approach to applied problem solving. These ADR practices have led to the emergence of the Data Value Map (datavaluemap.com) discursive template (for building shared understanding around data initiatives). David has published his research work in international outlets, such as: Harvard Business Review, Information Systems Journal, Business Horizons, and Information Systems Management. He is also co-Editor-in-Chief of the Journal of Decision Systems. is a Professor of Information Systems, a self-confessed visual thinker (placing a great value in taxonomical thinking) and works to the adage that “if you can’t draw it, you don’t understand it!” David has 25 years of teaching/research experience in Business Information Systems (BIS), University College Cork (UCC), Ireland. Throughout his career David has designed and directed several educational programmes for postgraduate and executive audiences. Since 2010, David has advocated for the Action Design Research (ADR) approach to applied problem solving. These ADR practices have led to the emergence of the Data Value Map (datavaluemap.com) discursive template (for building shared understanding around data initiatives). David has published his research work in international outlets, such as: Harvard Business Review, Information Systems Journal, Business Horizons, and Information Systems Management. He is also co-Editor-in-Chief of the Journal of Decision Systems.Ciara HeavinCiara Heavin is a Professor of Business Information Systems at Cork University Business School, University College Cork, Ireland. Her research focuses on opportunities for using Information Systems (IS) in the global healthcare ecosystem and in digital transformation. Ciara has directed funded research in the investigation, development, and implementation of innovative technology solutions in the health/healthcare domain. She has published articles in several top international IS journals and conference proceedings. Ciara has co-authored three books with Daniel J. Power: Decision Support, Analytics and Business Intelligence, Data-Based Decision Making and Digital Transformation, and Becoming Agile. She is the current Chair of the University Ethics Committee at University College Cork.
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识别数据质量问题的方法:数据代理的角色
摘要数据质量问题对组织来说是有问题且代价高昂的。员工(称为“数据经纪人”)必须在数据用于报告目的之前识别数据质量问题。在五个实地研究中,我们调查了这些员工如何识别这些经常隐藏的数据质量问题。组织可以执行五种“检查”方法:数据模板、主管验证、数据准确性、数据一致性和数据完整性。我们将讨论每种方法,将它们的相互关系理论化,并解释它们对研究和实践的贡献。关键词:数据质量问题、实地研究、数据经纪、人工识别、数据管理、披露声明作者未报告潜在利益冲突。关于贡献者的说明arif Wibisono arif Wibisono是印度尼西亚Sepuluh理工学院信息系统系的助理教授。他获得爱尔兰科克大学商业信息系博士学位(2023年),韩国釜山国立大学物流信息技术硕士学位(2011年),印度尼西亚Sepuluh 11月理工学院信息系统学士学位(2007年)。Arif获得了多项奖学金,如爱尔兰政府奖学金(GOI) -国际教育奖学金(IES) - 2018,科克大学商学院奖学金(CUBS) - 2018,韩国政府奖学金(2008)和印度尼西亚高等教育理事会奖学金(DIKTI)(2008)。现在,Arif是Journal of Decision Systems (Taylor and Francis, UK)的执行编辑。David Sammon是一名信息系统教授,他自称是一名视觉思想家(非常重视分类学思维),他的工作格言是“如果你不能画出来,那你就不理解它!”David在爱尔兰科克大学(UCC)的商业信息系统(BIS)领域拥有25年的教学/研究经验。在他的职业生涯中,David为研究生和行政人员设计和指导了几个教育项目。自2010年以来,David一直倡导行动设计研究(ADR)方法来解决应用问题。这些ADR实践导致了数据价值地图(datavaluemap.com)话语模板的出现(用于围绕数据计划建立共享理解)。David曾在《哈佛商业评论》、《信息系统杂志》、《商业视野》和《信息系统管理》等国际刊物上发表研究成果。他也是《决策系统杂志》的联合主编。他是一名信息系统教授,自认是一名视觉思想家(非常重视分类学思维),他的工作格言是“如果你不能画出来,那你就不理解它!”David在爱尔兰科克大学(UCC)的商业信息系统(BIS)领域拥有25年的教学/研究经验。在他的职业生涯中,David为研究生和行政人员设计和指导了几个教育项目。自2010年以来,David一直倡导行动设计研究(ADR)方法来解决应用问题。这些ADR实践导致了数据价值地图(datavaluemap.com)话语模板的出现(用于围绕数据计划建立共享理解)。David曾在《哈佛商业评论》、《信息系统杂志》、《商业视野》和《信息系统管理》等国际刊物上发表研究成果。他也是《决策系统杂志》的联合主编。Ciara Heavin是爱尔兰科克大学商学院商业信息系统教授。她的研究重点是在全球医疗保健生态系统和数字化转型中使用信息系统(IS)的机会。Ciara指导了健康/医疗保健领域创新技术解决方案的调查、开发和实施的资助研究。她曾在多个顶级国际信息系统期刊和会议论文集上发表文章。Ciara与Daniel J. Power合著了三本书:《决策支持》、《分析与商业智能》、《基于数据的决策制定与数字化转型》和《变得敏捷》。她是科克大学学院大学伦理委员会现任主席。
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来源期刊
Information Systems Management
Information Systems Management 工程技术-计算机:信息系统
CiteScore
14.60
自引率
1.60%
发文量
20
审稿时长
>12 weeks
期刊介绍: Information Systems Management (ISM) is the on-going exchange of academic research, best practices, and insights based on managerial experience. The journal’s goal is to advance the practice of information systems management through this exchange. To meet this goal, ISM features themed papers examining a particular topic. In addition to themed papers, the journal regularly publishes on the following topics in IS management. Achieving Strategic IT Alignment and Capabilities IT Governance CIO and IT Leadership Roles IT Sourcing Planning and Managing an Enterprise Infrastructure IT Security Selecting and Delivering Application Solutions Portfolio Management Managing Complex IT Projects E-Business Technologies Supporting Knowledge Work The target readership includes both academics and practitioners. Hence, submissions integrating research and practice, and providing implications for both, are encouraged.
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