Framework of Components and Indicators of Data Governance in the National Library and Archives of Iran (NLAI)

Document Type : Research َ Article

Author

Professor, National Library and Archives of Iran

10.30484/nastinfo.2025.3782.2334

Abstract

Purpose: Given that data governance is considered one of the most important strategies for organizations to manage their processes, the aim of this study is to determine the framework of data governance and its components in the National Library and Archives of Iran from the perspective of experts and opinion leaders.
Method: The research method is qualitative and meta-synthesis. To identify the components and elements of data governance, the model presented in the research of Fathollahzadeh et al was considered as a basic model; in such a way that five main axes were considered for designing the data governance framework, including planning, organization, performance, implementation, and monitoring. After that, the extracted indicators were adapted based on the processes of the NLAI. In addition to meta-synthesis, the Delphi method was also used to validate the components and indicators and finalize a suitable framework for use in the NLAI.
Findings: The key components and indicators that experts considered essential for implementing the NLAI's data governance program and were of high importance in the assessments were presented in the form of a written presentation framework consisting of 5 axes, 47 components, and 127 key indicators. Also, based on the findings, executive and research suggestions were presented.
Conclusion: Data governance in the NLAI refers to the specification of decision-making rights and accountability frameworks for individuals regarding data, ensuring proper behavior in the creation, consumption, control, analysis, and valuation of data within the organization. Like many data-driven organizations, this organization continuously deals with data and information and produces or collects data and information daily. Therefore, data and information are considered the property and assets of the organization. But storing data without a predetermined plan for ensuring its security and methods of use will be a fruitless task. Having such a plan helps to have a framework of rules for data management. Individual responsibility for specific organizational information; A common language and understanding for those who access and use information. Ultimately, all of these can lead to better collaboration between people and sound organizational decision-making.

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References

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  • Receive Date: 18 May 2025
  • Revise Date: 13 September 2025
  • Accept Date: 03 October 2025
  • Publish Date: 12 May 2026

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