Opportunities and Challenges of Data Governance Policy-Making in the Vice Presidency for Science, Technology and Knowledge-Based Economy

Faghihi, Zahra, Poursalehi, Nastaran and Noruzi, Alireza Opportunities and Challenges of Data Governance Policy-Making in the Vice Presidency for Science, Technology and Knowledge-Based Economy. Strategic Management of Organizational Knowledge, 2026, vol. 9, n. 3, pp. 15-55. [Journal article (Paginated)]

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English abstract

This study identifies and prioritizes the opportunities and challenges of data governance policymaking within the Iranian Vice Presidency for Science, Technology, and Knowledge-Based Economy. A quantitative survey was conducted. Data governance components were identified through a literature review, and a researcher-developed questionnaire was distributed among managers, data specialists, and information technology staff at the Centre for Transformation and Progress Cooperation. Data were analyzed using Friedman, Spearman, Mann–Whitney, and Kruskal–Wallis tests in SPSS. Ten data governance policymaking components were identified based on the Data Management Association (DAMA) framework. Data modeling and design were identified as both the greatest opportunity and the most significant challenge. Seven components showed favorable opportunities, whereas three were relatively favorable. For challenges, seven components were unfavorable, and two were relatively favorable. Significant correlations were found among all components, while demographic variables had no significant effects. The findings indicate that data modeling and design requires the highest policy priority because of its dual role. Components with favorable opportunities should be reinforced, whereas those in relatively favorable conditions should be improved before addressing more critical weaknesses. The strong relationships among components highlight the need for coordinated policymaking. Identifying the opportunities and challenges of data governance policymaking provides a roadmap for government institutions. An integrated policy model that simultaneously strengthens opportunities, mitigates challenges, and considers interactions among all components can improve organizational performance and support more effective data governance.

Item type: Journal article (Paginated)
Keywords: data governance, data governance policy‑making, policy‑making, opportunities and challenges, knowledge‑based economy
Subjects: D. Libraries as physical collections. > DF. Government libraries.
I. Information treatment for information services > IE. Data and metadata structures.
L. Information technology and library technology > LN. Data base management systems.
Depositing user: Dr. Alireza Noruzi
Date deposited: 13 Oct 2026 07:08
Last modified: 13 Oct 2026 07:08
URI: http://hdl.handle.net/10760/49063

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