Journal of Information Resources Management ›› 2025, Vol. 15 ›› Issue (3): 11-19.doi: 10.13365/j.jirm.2025.03.011

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The Leap from Data Resources to Data Asset: Path and Prospects for the Information Resources Management Discipline

Li Ying Cao Yufei   

  1. Department of Information Resources Management, Business School, Nankai University, Tianjin, 300071
  • Online:2025-05-26 Published:2025-06-16
  • About author:Li Ying(corresponding author), Ph.D.,professor, research interests include data asset management,Email:liying@nankai.edu.cn; Cao Yufei, Ph.D. candidate, research interests include data asset management.
  • Supported by:
    This study is an outcome of the Tianjin Municipal Higher Education Quality Assurance and Instructional Innovation Initiative Project "Tradition, Innovation, and Transformation: Cultivating Information Resource Management Professionals through the New Liberal Arts Paradigm"(B231005508).

Abstract: As the fifth major production factor, the key to releasing the value of data lies in its assetization. This paper finds that the leap from data resources to data asset involves five key domains: confirmation of ownership of data asset,value assessment and pricing of data asset, data asset recognition in balance sheet, circulation and trading of data asset, and governance and management of data asset. The disciplinary responsibility and mission of Information Resources Management(IRM), as well as its theoretical system centered on data and information, provide inevitability and possibility for IRM to conduct research on data assetization. Moreover, IRM has already achieved relatively complete research results in data resources management, supporting its steady progress towards data assetization. Based on this, this paper looks ahead to the future research on data assetization in IRM, pointing out that IRM scholars should strengthen systematic research on data policies and regulations and improve the framework of data asset governance system in the future; focus on the open circulation of government data assets and explore new paths for authorized management; deeply explore the content and management of data assets in public libraries, and help promote service innovation and competitiveness improvement; pay attention to characteristic entities such as data providers and third-party service providers, and expand the practice of data assetization; address the ownership and security issues of user data assets, and enhance the data literacy and ability cultivation of practitioners. Ultimately, this paper aims to promote the improvement of the data-related research system in the IRM discipline.

Key words: Information resources management, Data, Data asset, Data element, Data resources

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