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

Rene Abraham, Johannes Schneider and Jan vom Brocke

International Journal of Information Management, 2019, vol. 49, issue C, 424-438

Abstract: 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.

Keywords: Data governance; Information governance; Conceptual framework; Literature review; Research agenda (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:49:y:2019:i:c:p:424-438

DOI: 10.1016/j.ijinfomgt.2019.07.008

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