Data Governance Framework in Data Exchange Centers

Purpose: Data governance frameworks have typically been discussed within the confines of an organization, with less focus on inter-organizational contexts. However, due to factors like the rise of electronic government applications and the growth of inter-organizational collaboration in competitive...

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Published inعلوم و فنون مدیریت اطلاعات Vol. 10; no. 1; pp. 89 - 116
Main Authors Mohamadreza Mortazavi, Ali Moeini, Arman Sajedinejad
Format Journal Article
LanguagePersian
Published University of Qom 01.03.2024
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Summary:Purpose: Data governance frameworks have typically been discussed within the confines of an organization, with less focus on inter-organizational contexts. However, due to factors like the rise of electronic government applications and the growth of inter-organizational collaboration in competitive markets, data exchange among organizations is on the rise. This current research aims to address this gap by proposing a data governance framework for data exchange centers. Given the continuous growth of e-government applications and interactions, along with the significant role and value of data within them, implementing this framework can enhance the accuracy and efficiency of data and information exchange. Method: This research is qualitative and its method is grounded theory. Initially, the fundamentals of the research were examined. This involved reviewing both scientific and academic research as well as frameworks provided by technical and specialized associations. By exploring the basics and background of the research, foundational knowledge was acquired for subsequent steps. Subsequently, through conducting semi-structured interviews with experts and documenting them, over 400 phrases were collected, and categorized into 100 concepts. These were then analyzed using open coding (resulting in 44 subcategories), theoretical coding (leading to 15 categories), and the development of a theoretical framework. The data was sourced from national data exchange centers. Given the qualitative nature of the study, methods such as participant review, triangulation, and the Delphi technique were employed to ensure the validity and reliability of the findings. Findings: The data governance framework in the data exchange center comprises 15 components, categorized into "main components of governance, "main components in the business of data exchange centers, and "supporting components in the business of data exchange centers. Some of these components include "roles, responsibilities, and rights, "standards and policies, "change management. Conclusion: Based on the results of this research, "roles, responsibilities, and rights, "standards and policies, and "monitoring and auditing" are the main components of a data governance framework in data exchange centers. Additionally, "stakeholder collaboration" and "commercialization" also distinguish it from other data governance frameworks. Although this framework is developed for data exchange centers, it can also be used in similar inter-organizational contexts that require data exchange.
ISSN:2476-6658
2476-6534
DOI:10.22091/stim.2022.7668.1700