Journal of Information Resources Management ›› 2025, Vol. 15 ›› Issue (5): 66-81.doi: 10.13365/j.jirm.2025.05.066

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“Objectives-Instruments-Subjects” Triangular Framework: A Quantitative Analysis of China’s Data Asset Management Policies

Zhang Wei Ye Shiqi   

  1. School of Public Administration, Sichuan University, Chengdu, 610065
  • Online:2025-09-26 Published:2025-10-31
  • About author:Zhang Wei, Ph.D., professor and Ph.D. supervisor, research interests inducle public policy and digital governance; Ye Shiqi(corresponding author), Ph.D. candidate, research interests inducle public policy and digital governance, Email: ye_sq147@163.com.
  • Supported by:
    This work was supported by the Late Funded Project of National Social Science Foundation of China "Impact Mechanisms and Policy Research of Disruptive Technologies on Public Safety" (24FGLB034); the Key Research of Philosophy and Social Sciences of the 14th Five-year Plan of Sichuan University "Collaborative Innovation Mechanisms and Strategy Research for Strategic Emerging Industries' Innovation Ecosystem in Chengdu-Chongqing Region"(SCJJ-12).

Abstract: The policy text on data assets plays a crucial role in the forward-looking, guiding, and coordinated management of data assets. It is crucial to scientifically recognize its value orientation, specific measures, and subject layout to promote the establishment and improvement of the data asset policy system. This study has built a three-dimensional analytical framework of “policy objectives-policy instruments-policy subjects” and conducted multi-dimensional quantitative analysis on 36 policy texts based on this framework. It has sorted out that mechanism innovation, risk prevention and control, value exploitation, ecological cultivation are the four major pathways of the current policy system. The three major real problems in the current data asset policy system are imbalanced policy objectives, imbalanced policy instrument structures, and insufficient motivation of policy subjects. In the future, it is necessary to break through the development dilemma by strengthening policy goal coordination, optimizing policy instrument structures, and giving full play to the role of policy subjects. This will promote the comprehensive management and compliance, standardization, and value-added management of data assets.

Key words: Data assets, Whole process management, Data policy, Quantitative analysis, Policy instruments

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