Document Type : Original Article
Authors
1
Ph.d student of Department of Knowledge and communication Sciences, Science and Research Branch, Islamic Azad University Tehran, Iran
2
PhD in Knowledge and Information Science, Professor, Department of Knowledge and Communication Sciences, Science and Research Branch, Islamic Azad University Tehran, Iran
3
PhD in Industrial Engineering, Assistant Professor, Iranian Research Institute for Information Science and Technology (IranDoc), Tehran, Iran
4
PhD in Knowledge and Information Science , Associate Professor, Department of Knowledge and communication Sciences, Science and Research Branch, Islamic Azad University Tehran, Iran
5
PhD in Knowledge and Information Science, Assistant Professor, Iranian Research Institute for Information Science and Technology (IranDoc),Tehran,Iran
Abstract
Having a data governance program tailored to the goals and missions of the organization is the first step in improving the organization. Data governance is an abstract concept that this prevents its proper implementation, and it is necessary to provide a correct and effective definition of it in order to help identify it by identifying the various components of this concept. This research has analyzed the content of literature in the field of data governance with a meta-synthesis method. 68 papers and dissertations related to this field were purposefully selected and reviewed by qualitative content analysis. by searching the reputable databases of Emerald, Scopus, Sage, ProQuest, Springer, WebAscience, and Google Scholar based on the Sandowski and Barroso model. The research findings identified 5 main components of data governance including "planning", "organizing and managing", "performance", "implementation" and "evaluation". These main components each have sub-components, which were identified as 32 components for data governance with a meta-synthesis of literature. These components help to define governance and its implementation for various organizations. Each organization can use these components to design and implement a data governance program tailored to its context.
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