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Data governance: A conceptual framework, structured review, and research agenda

被引：196
作者：
Abraham, Rene [1 ]
Schneider, Johannes [1 ]
vom Brocke, Jan [1 ]
机构：
[1] Univ Liechtenstein, Inst Informat Syst, Furst Franz Josef Str, FL-9490 Vaduz, Liechtenstein
来源：
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT | 2019年 / 49卷
关键词：
Data governance; Information governance; Conceptual framework; Literature review; Research agenda; INFORMATION GOVERNANCE; CORPORATE GOVERNANCE; RECORDS MANAGEMENT; PERSPECTIVES; INTEGRATION; TECHNOLOGY; CULTURE; HEALTH; FUTURE;
D O I：
10.1016/j.ijinfomgt.2019.07.008
中图分类号：
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号：
1205 ; 120501 ;
摘要：
Data governance refers to the exercise of authority and control over the management of data. The purpose of data governance is to increase the value of data and minimize data-related cost and risk. Despite data governance gaining in importance in recent years, a holistic view on data governance, which could guide both practitioners and researchers, is missing. In this review paper, we aim to close this gap and develop a conceptual framework for data governance, synthesize the literature, and provide a research agenda. We base our work on a structured literature review including 145 research papers and practitioner publications published during 2001-2019. We identify the major building blocks of data governance and decompose them along six dimensions. The paper supports future research on data governance by identifying five research areas and displaying a total of 15 research questions. Furthermore, the conceptual framework provides an overview of antecedents, scoping parameters, and governance mechanisms to assist practitioners in approaching data governance in a structured manner.
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收藏
页码：424 / 438
页数：15
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