信息资源管理学报 ›› 2025, Vol. 15 ›› Issue (5): 66-81.doi: 10.13365/j.jirm.2025.05.066

• 研究论文 • 上一篇    下一篇

“目标-工具-主体”三维框架下中国数据资产管理政策量化分析

张伟 叶诗奇   

  1. 四川大学公共管理学院,成都,610065
  • 出版日期:2025-09-26 发布日期:2025-10-31
  • 作者简介:张伟,博士,教授、博士生导师,研究方向为公共政策与数字治理等;叶诗奇(通讯作者),博士研究生,研究方向为公共政策与数字治理,Email:ye_sq147@163.com。
  • 基金资助:
    本文系国家社会科学基金后期资助项目“颠覆性技术对公共安全的影响机制与政策研究”(24FGLB034);四川大学“十四五”哲学社会科学重点研究课题“成渝地区战略性新兴产业创新生态系统协同创新机制及策略研究”(SCJJ-12)的研究成果之一。

“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).

摘要: 数据资产管理政策文本在数据资产管理方面发挥着前瞻性、指导性和统筹性的关键作用,科学认知其价值取向、具体举措、主体布局是推动数据资产管理政策体系建立健全的关键。本研究构建了“政策目标-政策工具-政策主体”三维分析框架,并基于此对36份政策文本进行多维量化分析,识别出机制创新、风险防控、价值挖掘、生态培育的政策四大作用路径。当前,政策目标制定存在偏重、政策工具结构有所失衡、政策主体激励不够充分是数据资产管理政策体系面临的三大现实问题。未来,应通过强化政策目标协调、优化政策工具结构和发挥政策主体作用来突破发展困境,推动数据资产全过程管理及其合规化、标准化和增值化。

关键词: 数据资产, 全过程管理, 数据政策, 量化分析, 政策工具

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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