Data governance and digital innovation: A translational account of practitioner issues for IS research

IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Information and Organization Pub Date : 2023-03-01 DOI:10.1016/j.infoandorg.2023.100450
Gregory Vial
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引用次数: 1

Abstract

There is widespread agreement in research and practice that data governance is an instrumental element to help organizations leverage and protect data. IS research has observed that our practical and our scientific knowledge of data governance remains limited, and the increasing ability for organizations to generate, acquire, store, transform, process and analyze data calls for us to further identify and address issues on the topic. Striving to contribute to answer this pressing need, we argue that understanding the nature and the implications of governance mechanisms is of high importance as it is these mechanisms that effectively instantiate data governance in an organization. Building on our experience preparing and teaching workshops to 102 executives on the topic, we adopt a position of engaged scholarship and provide a translational account of our pedagogical experience on data governance, highlighting four outstanding themes for IS research. We argue that these four themes—(1) embracing data governance without compromising digital innovation; (2) enacting data governance through repertoires of mechanisms; (3) moving away from data governance toward governing data; and (4) moving away from a view of data at rest to adopt a service-based perspective on data governance—are highly relevant for practice and research. In our view, studying these themes will contribute to inform practitioners who often struggle with the implementation of comprehensive data governance programs and frameworks. At the same time, the ability to leverage theory to study these themes can help research generate novel theoretical contributions on data governance, helping future research on the topic.

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数据治理与数字创新:信息系统研究实践者问题的翻译
研究和实践中普遍认为,数据治理是帮助组织利用和保护数据的一个重要因素。IS研究发现,我们对数据治理的实践和科学知识仍然有限,组织生成、获取、存储、转换、处理和分析数据的能力不断增强,这要求我们进一步识别和解决该主题的问题。为了努力满足这一迫切需求,我们认为,了解治理机制的性质和含义非常重要,因为正是这些机制有效地实例化了组织中的数据治理。基于我们为102名高管准备和教授该主题研讨会的经验,我们采取了学术参与的立场,并对我们在数据治理方面的教学经验进行了翻译,突出了信息系统研究的四个突出主题。我们认为这四个主题——(1)在不影响数字创新的情况下拥抱数据治理;(2) 通过各种机制实施数据治理;(3) 从数据治理转向数据治理;以及(4)从静止数据的观点转向基于服务的数据治理视角——这与实践和研究高度相关。在我们看来,研究这些主题将有助于为那些经常在实施全面的数据治理计划和框架时遇到困难的从业者提供信息。同时,利用理论研究这些主题的能力可以帮助研究在数据治理方面产生新的理论贡献,帮助未来对该主题的研究。
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来源期刊
CiteScore
11.20
自引率
1.60%
发文量
18
期刊介绍: Advances in information and communication technologies are associated with a wide and increasing range of social consequences, which are experienced by individuals, work groups, organizations, interorganizational networks, and societies at large. Information technologies are implicated in all industries and in public as well as private enterprises. Understanding the relationships between information technologies and social organization is an increasingly important and urgent social and scholarly concern in many disciplinary fields.Information and Organization seeks to publish original scholarly articles on the relationships between information technologies and social organization. It seeks a scholarly understanding that is based on empirical research and relevant theory.
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