公共数据资源开发利用

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省委全面深化改革委员会召开会议认真学习贯彻习近平总书记重要讲话重要指示精神研究讨论超大特大城市高质量发展、“百千万工程”集成式改革、公共数据资源开发利用等事项黄坤明主持会议 王伟中林克庆出席会议
Nan Fang Ri Bao Wang Luo Ban· 2025-08-23 01:35
会议指出,当前,"百千万工程"正处于聚力攻坚、提升突破的关键阶段,要以进一步全面深化改革打通 堵点、激活动力,加快完善县镇村高质量发展动力机制,助力实现三年初见成效目标。要着力完善县域 产业发展、产业链协作等体制机制,扎实推进扩权强县、强县扩权改革和县镇管理体制改革,推动兴 业、强县、富民一体发展。要健全改革抓落实制度机制,实行项目化、清单化管理,加强改革调度和评 估,强化督察问效,确保取得实效。要打造广东改革品牌,支持鼓励佛山市、茂名高州市等省级改革创 新实验区加强改革探索,聚焦城乡区域协调发展,大力开展首创性、集成式改革,加快构建产业升级、 人口集聚、城镇发展良性互动机制。 会议还对近期重点改革事项进行深入研究。强调要进一步加快我省公共数据资源开发利用,在建立数据 合规高效流通机制和丰富应用场景上下功夫,充分释放数据要素乘数效应,更好促进数据产业繁荣发 展,助力数字经济做强做优做大。要规范开展领导干部自然资源资产离任审计工作,充分发挥审计评价 指标体系作用,准确把握审计标准和要求,强化审计结果应用,推动领导干部切实履行好自然资源资产 管理和生态环境保护责任。要采取有效措施抓好新一批基层改革典型案例的推介, ...
关于加快北京市公共数据资源开发利用的实施意见
Bei Jing Ri Bao Ke Hu Duan· 2025-08-10 22:16
Group 1 - The article emphasizes the importance of developing and utilizing public data resources to enhance data quality, efficiency, and application in the city [1] - It outlines a unified management system for public data directories, ensuring dynamic updates and comprehensive data sharing across various sectors [2][3] - The article highlights the need for improving public data quality through source governance and establishing a feedback mechanism for data issues [2] Group 2 - It discusses the efficient sharing of government data, advocating for a centralized data sharing platform to enhance service delivery [4] - The article encourages the orderly opening of public data while ensuring national security and personal information protection [5] - It mentions the establishment of a pricing mechanism for public data services, allowing for conditional free use in public welfare and charging for industry development [7] Group 3 - The article stresses the importance of supervision and management of public data operations, including transparency in data usage and compliance with regulations [8] - It outlines the development of new data infrastructure to support innovative applications and enhance data service capabilities [9] - The article promotes the creation of diverse data application scenarios to meet public service needs and encourages collaboration among enterprises [10] Group 4 - It highlights the significance of central-local collaboration and regional cooperation in data resource development and utilization [11] - The article discusses the promotion of public data product circulation and trading, particularly in high-demand sectors like finance and healthcare [11] - It emphasizes the need for a supportive ecosystem for data industry development, encouraging innovation and the establishment of high-level data enterprises [11] Group 5 - The article outlines the necessity of balancing development and security in public data management, including risk assessment and emergency response mechanisms [13] - It encourages pilot programs to explore innovative data management practices while ensuring accountability and preventing misuse [14] - The article calls for strengthened organizational leadership and funding support for data infrastructure and service development [15] Group 6 - It emphasizes the importance of evaluation and supervision in public data resource development, advocating for third-party assessments and recognition of exemplary practices [16]
数据要素越用越值钱
Jing Ji Ri Bao· 2025-07-13 22:17
Group 1 - The total national data production is projected to reach 41.06 ZB in 2024, representing a year-on-year growth of 25%, with an acceleration of 2.56 percentage points compared to the previous year [1] - Key sectors such as artificial intelligence, smart devices, low-altitude economy, and robotics are experiencing rapid data growth due to increased enterprise development and utilization activities [1] - Approximately 66% of leading enterprises and 30% of data technology companies have purchased data, indicating a significant engagement in data utilization [1] Group 2 - The development and utilization of public data resources are accelerating, with a national integrated government data sharing hub supporting over 540 billion calls [2] - Challenges remain in public data development, including insufficient supply, limited openness, and security and cost issues, suggesting a need for more "authorized operation" models to enhance market vitality while ensuring public data's public interest [2] - There is an uneven distribution of data resource development and utilization across regions and industries, with the eastern region being more active, particularly in transportation logistics and electricity sectors [2]
抓好《政务数据共享条例》落实 提高公共数据资源开发利用水平
Xin Hua She· 2025-06-06 03:23
Core Viewpoint - The introduction of the "Regulations on Government Data Sharing" marks a new phase in the legal construction of government data sharing in China, emphasizing the importance of public data resource development and utilization [1][2]. Group 1: Significance of the Regulations - The regulations are seen as a crucial measure for enhancing digital government construction and improving digital governance capabilities, serving as a key tool to break down "data silos" [2]. - The regulations aim to facilitate efficient, precise management and convenient, inclusive services by promoting cross-level, cross-regional, cross-system, cross-department, and cross-business data sharing [2][3]. - The regulations address existing challenges in government data sharing, such as the need for improved management mechanisms and insufficient supply-demand matching [2][3]. Group 2: Implementation Measures - The regulations clarify responsibilities among various government levels and departments, emphasizing the principle of "who manages, who is responsible" to ensure accountability in data sharing [4]. - Specific requirements for data sharing applications and response processes are established to enhance efficiency and avoid inter-departmental delays [4]. - The regulations mandate the establishment of a unified directory management system for government data, promoting standardized and centralized data management [5]. Group 3: Practical Steps for Effective Implementation - The National Data Bureau will actively promote the return of government data to grassroots levels, establishing a responsibility mechanism for data return [7]. - Efforts will be made to reduce the reporting burden on grassroots by streamlining data reporting processes and enhancing data sharing applications [7]. - The regulations will drive the development of demonstration scenarios in key sectors such as transportation, healthcare, and meteorology, aiming to create tangible applications that benefit the public [7].