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“周期-工具-主体”协同视角下我国公共数据治理政策解析

  • 赵蕊菡 ,
  • 陈俊蕾 ,
  • 张潇月
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  • 1郑州航空工业管理学院信息管理学院河南450046;2中国传媒大学传播研究院北京100024)
赵蕊菡,女,1987年生,郑州航空工业管理学院副教授,硕士生导师。 陈俊蕾,女,1998年生,郑州航空工业管理学院信息管理学院硕士研究生。 张潇月,女,1994年生,中国传媒大学传播研究院师资博士后。

网络出版日期: 2024-09-19

基金资助

本文系河南省重点研发与推广专项(科技攻关)“‘智库中原’政务大数据治理平台构建及应用研究”(项目编号:222102320235)、郑州航院科研团队“组织人事大数据与智能知识管理”(项目编号:23ZHTD02003)的研究成果之一。

Analysis of China's Public Data Governance Policy from the Collaboration Perspective of "Cycle-Tool-Subject"

  • Zhao Ruihan ,
  • Chen Junlei ,
  • Zhang Xiaoyue
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  • 1School of Information Management, Zhengzhou University of Aeronautics, He’nan, 450046;2Institute of Communication Studies, Communication University of China, Beijing, 100024)

Online published: 2024-09-19

摘要

[目的/意义]公共数据的高质量治理对全面推进数据要素市场改革、赋能数字经济高质量发展具有重要引领作用。为促进公共数据治理的推进,文章从政策工具与数据生命周期的协同发展进行探索,以弥补既有研究在协同分析视角方面的不足。[方法/过程]文章从全数据生命周期治理的视角出发,对当前省市层面颁布的104份公共数据治理政策开展解析。[结果/结论]当前地方层面的公共数据治理政策存在治理主体领导力有待增强、治理客体缺乏规范与创新、治理工具执行力有待提升等问题。因此,需从政策层面拓宽和深化公共数据治理领域,强化公共数据全生命周期治理,加强协作以增强政策的可操作性和效用。

本文引用格式

赵蕊菡 , 陈俊蕾 , 张潇月 . “周期-工具-主体”协同视角下我国公共数据治理政策解析[J]. 情报资料工作, 2024 , 45(5) : 51 -63 . DOI: 10.12154/j.qbzlgz.2024.05.006

Abstract

[Purpose/significance] High quality governance of public data will effectively promote the modernization of national governance capabilities, and it plays an important leading role in comprehensively promoting the reform of the data production element market and empowering the high-quality development of the digital economy. To advance the development of public data governance, this paper explores more in the lens of policy tools and data life cycle col⁃laboratin. Such perspective will make up for the shortcomings of existing studies in the perspective of collaborative anal⁃ysis. [Method/process] From the perspective of the full data life cycle governance of public data, this study analyzes 104 policy texts promulgated at the provincial and municipal levels in China. This study will contribute to improve pub⁃lic data governance policies and data governance system design. [Result/conclusion] There are problems in public data governance policies, such as the need to enhance the leadership of governance entities, the lack of standardization and innovation in governance objects, and the need to improve the execution of governance tools. Therefore, it is necessary to broaden and deepen the field of public data governance in policy-making activities, strengthen the governance of the
whole life cycle of public data, and strengthen collaboration to enhance the operability and effectiveness of policies.
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