加快公共数据资源开发利用的理论阐释与发展进路笔谈  

Discussion on the theoretical explanation and development path of accelerating the development and utilization of public data resources

作　　者：范丽莉[1] 张翔 叶志鹏 武小龙[4] 沈费伟 董鹏 FAN Lili;ZHANG Xiang;YE Zhipeng;WU Xiaolong;SHEN Feiwei;DONG Peng(School of Humanities,Chang'an University,Xi'an 710064,Shaanxi,China;School of Public Affairs,Xiamen University,Xiamen 361005,Fujian,China;School of Public Administration,East China Normal University,Shanghai 200062,China;School of Humanities and Social Sciences,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,Jiangsu,China;School of Public Administration,Hangzhou Normal University,Hangzhou 311121,Zhejiang,China;School of Public Policy&Management,Tsinghua University,Beijing 100084,China)

机构地区：[1]长安大学人文学院,陕西西安710064 [2]厦门大学公共事务学院,福建厦门361005 [3]华东师范大学公共管理学院,上海200062 [4]南京航空航天大学人文与社会科学学院,江苏南京211106 [5]杭州师范大学公共管理学院,浙江杭州311121 [6]清华大学公共管理学院,北京100084

出　　处：《长安大学学报(社会科学版)》2025年第1期1-37,共37页Journal of Chang'an University(Social Science Edition)

基　　金：陕西省社会科学基金专项项目(2023SJ13);上海市“科技创新行动计划”软科学研究项目(24692104200);江苏省社会科学基金青年项目(24ZZC002);国家社会科学基金项目(24BZZ069)。

摘　　要：加快公共数据资源开发利用具有战略、理论、生态和发展逻辑,包括深化数据要素配置改革、加强资源管理以及鼓励应用创新等重要任务,它反映了行政权威与部门诉求、行政逻辑与市场逻辑以及数据安全与技术支持之间的关系,凸显出“方法”意识在公共数据资源治理中的重要地位。人工智能技术能够有效赋能公共数据治理,该过程需要技术、组织和条件保障。加快公共数据资源开发利用需要遵循坚持市场驱动与政府调控、纵向统筹与横向协调、创新引领与规范约束、发展优先与安全保障的原则,做到优化开发机制、破除信息壁垒以及加强风险管理。公共数据资源开发能够提升数字政府建设绩效,其中包含网络贯通、数据上云、算法治理和终端服务等举措,能够分别实现数字政府建设的数据“连接”、业务“赋能”、主体“协同”以及组织“重构”,应健全数据基础制度、高效供给数据资源、强化数据应用场景、推动数据跨域合作以及加强数据安全保障。加快公共数据资源开发利用需要推进数据要素化治理,当前面临着体系不健全、技术体系难以支撑、市场体系不成熟的困境,应充分发挥政府调控作用,推动技术创新发展以及优化市场调节作用。Accelerating the development and utilization of public data resources has strategic,theoretical,ecological,and developmental significance.It involves deepening the reform of data factor allocation,strengthening resource management,and encouraging application innovation.This process reflects the interplay between administrative authority and departmental demands,administrative logic and market dynamics,as well as data security and technical support.It underscores the crucial role of methodological awareness in public data resource governance.Artificial intelligence technology can effectively enhance public data governance,but this requires technical,organizational,and structural support.To accelerate the development and utilization of public data resources,it is essential to balance market-driven approaches with government regulation,ensure both vertical and horizontal coordination,foster innovation while maintaining regulatory constraints,and prioritize development without compromising security,while optimizing development mechanisms,eliminating information barriers,and strengthening risk management.The development of public data resources can significantly enhance digital government performance by improving network interconnectivity,cloud-based data management,algorithmic governance,and terminal services.These improvements facilitate data“integration”,business“empowerment”,stakeholder“collaboration”,and organizational“restructuring”within digital government systems.Efforts should focus on enhancing foundational data infrastructure,ensuring efficient data resource supply,expanding application scenarios,promoting cross-sectoral data cooperation,and strengthening data security.Promoting the governance of data factors is essential for accelerating the development and utilization of public data resources.However,current challenges include an underdeveloped regulatory framework,insufficient technical support systems,and an immature market ecosystem.To overcome these obstacles,government regulation shou

关 键 词：公共数据 公共数据开发 人工智能 数字政府 数据要素化 

分 类 号：F124[经济管理—世界经济] D621[政治法律—政治学]