Core Viewpoint - The implementation of the "Regulations on Government Data Sharing" marks a new phase in the legal management of government data in China, aiming to enhance the efficiency of digital governance and support high-quality economic and social development [1][2]. Group 1: Regulatory Framework - The "Regulations on Government Data Sharing," effective from August 1, 2023, is the first comprehensive administrative regulation to standardize the circulation of government data, establishing a legal foundation for data management [1]. - The regulation addresses various aspects such as directory management, sharing usage, platform support, and security measures, promoting a coordinated national approach to data sharing [2]. Group 2: Challenges and Solutions - Current challenges in data sharing include inadequate management mechanisms, poor supply-demand matching, insufficient application of shared data, lack of unified standards, and incomplete security measures, which hinder the full realization of data value [2]. - The regulation aims to create a unified national big data system for government affairs, facilitating efficient data flow and deep integration across departments and levels [2]. Group 3: Practical Applications - The effective use of government data will enable precise matching of eligible enterprises and citizens with policies, reducing institutional transaction costs and significantly shortening approval cycles through synchronized data access across departments [3]. - The focus on application scenarios will drive the orderly sharing of data between business systems and local data platforms, fostering a virtuous cycle of improved quality in data sharing and governance capabilities [3].

Domestic News - The State Council of China has announced the implementation of the "Regulations on Government Data Sharing" starting from August 1, 2025, aimed at enhancing the efficiency and security of government data sharing and digital governance capabilities [1] - The Ministry of Industry and Information Technology is focusing on promoting the development of the artificial intelligence industry and its integration into new industrialization [5] - The Ministry of Commerce reported that from January to April, China's service trade maintained rapid growth, with total service trade amounting to 26,320.6 billion yuan, a year-on-year increase of 8.2% [4] - The National Development and Reform Commission and other departments have launched the 2025 New Energy Vehicle Rural Promotion Campaign, which includes various supportive measures for rural areas [6] International News - The European Central Bank has lowered the three key interest rates in the Eurozone by 25 basis points, marking the eighth rate cut within a year [11] - The U.S. manufacturing PMI for May recorded 48.5, indicating contraction for the fourth consecutive month, with the import sub-index hitting a sixteen-year low [10] - The Hong Kong stock market's total market capitalization reached 40.9 trillion HKD by the end of May 2025, reflecting a 24% year-on-year increase [8]

"数据孤岛"制约服务效率 这些政务数据在传统政务服务模式中分布在各个业务部门系统中，不共享就形成了"数据孤岛"。这使得部门协同办公困难，阻碍了行政效率提 升，也会严重影响企业群众的办事体验。 央视网消息：近日，《政务数据共享条例》（以下简称《条例》）正式出台，对政务数据的目录管理、共享使用、平台支撑等工作进行部署。 目的是推进政务数据安全有序高效共享利用，提升政府数字化治理能力和政务服务效能，全面建设数字政府。2024年以来，国家数据局累计发 布了70个公共数据"跑起来"示范场景，助力产业发展、社会治理、民生改善。 哪些数据属于政务数据？ 政务数据是指政府部门在依法履行职责过程中收集和产生的各类数据，但不包括属于国家秘密、工作秘密的数据。 这些数据可以分为两类，一类是政府采集的企业和个人的业务数据以及加工数据，比如公安部门采集的户口簿，教育部采集的学历学位证书， 市场监管部门采集的营业执照等信息；另一类是政府履职过程中采集的自然资源和空间地理等数据，比如城市管道设施、气象、公路、农田等 数据。 此外，《条例》还提出要通过实行目录管理，更好地对政务数据实施共享，方便各个部门间的数据申请。 国家数据发展研究院副院 ...

Core Viewpoint - The newly introduced "Regulations on Government Data Sharing" aims to promote the safe, orderly, and efficient sharing of government data, enhancing digital governance capabilities and the effectiveness of government services, ultimately contributing to the construction of a digital government [1] Group 1: Definition and Importance of Government Data - Government data refers to various types of data collected and generated by government departments in the course of performing their duties, excluding state secrets and work secrets [2] - The data can be categorized into two types: data collected from businesses and individuals, and data related to natural resources and spatial geography collected during government operations [2][4] - Without data sharing, government data would be isolated in different departmental systems, creating "data silos" that hinder inter-departmental collaboration and negatively impact administrative efficiency and public service experience [4] Group 2: Benefits of Data Sharing - Data sharing can enhance government efficiency and improve the public's experience by allowing departments to access relevant data without redundant submissions [6] - It can also improve the scientific basis of government decision-making by integrating and analyzing multidimensional data related to the economy, livelihood, and society [6] - For example, traffic data can be aggregated to identify patterns that inform urban planning and infrastructure development [8] Group 3: Implementation of Data Sharing - The regulations classify government data into three categories based on sharing attributes: unconditional sharing, conditional sharing, and non-sharing [9] - The application process for data sharing is clearly defined, with specific timeframes for responses: one working day for unconditional sharing, ten working days for conditional sharing, and twenty working days for data sharing once approved [11] - The regulations establish a mechanism for data sharing as a fundamental task, requiring clear reasons for any data that is not shared, thus facilitating a more structured approach to data sharing [13] Group 4: Data Management and Accessibility - The regulations propose a directory management system to better implement data sharing, making it easier for departments to apply for data [13] - This directory serves as a comprehensive data dictionary, detailing the content, sharing attributes, sharing methods, usage conditions, and classification of data, thereby simplifying the process of finding and requesting data [15]

Group 1 - The release of the "Regulations on Government Data Sharing" marks a new phase of legal governance for data sharing in China, providing a legal framework for efficient data circulation and enhancing government digital governance capabilities [2][3] - The regulations address existing issues such as incomplete mechanisms and unclear responsibilities in government data sharing, aiming to eliminate "data silos" and improve the efficiency of data utilization [2] - The establishment of 10 national data element comprehensive pilot zones in various provinces aims to support the integration of the real economy and digital economy, fostering a robust data market ecosystem [3] Group 2 - A seminar on high-quality data set construction and standardization was held, focusing on guidelines, format requirements, and quality assessment for data sets, which will facilitate the application of artificial intelligence in central enterprises [4][5] - Guangzhou's "Digital Guangzhou Construction 2025 Work Points" outlines 32 key tasks for digital transformation, emphasizing the development of data resources and the establishment of a governance system for data circulation [5]

Core Points - The introduction of the "Regulations on Government Data Sharing" marks a significant step towards legalizing data sharing in China, addressing the existing legislative gap in this area [1][2][4] - The regulations aim to eliminate the "data silos" phenomenon and reduce the administrative burden on grassroots workers by preventing the repeated collection of data that can be obtained through sharing [1][3][5] - The regulations establish a unified management system for government data, including a comprehensive data directory and standardized procedures for data collection and sharing [7][8][9] Group 1 - The "Regulations on Government Data Sharing" will take effect on August 1, 2025, and consist of 8 chapters and 44 articles [3][4] - The regulations are designed to facilitate a nationwide integrated government big data system, promoting the fusion and application of data resources [4][6] - The regulations emphasize the principle of "who manages, who is responsible; who uses, who is responsible," clarifying the safety responsibilities of all parties involved in data sharing [14][15] Group 2 - The regulations prohibit government departments from collecting data that can be obtained through sharing, addressing the long-standing issue of redundant data collection [7][9][10] - A unified data directory will be established, detailing data names, items, providing units, formats, update frequencies, sharing attributes, and usage conditions [8][10] - The regulations aim to enhance the efficiency of government services by allowing for automatic matching of eligible individuals and enterprises for benefits, thus streamlining processes [11][12] Group 3 - The regulations will help optimize grassroots services by reducing the need for citizens to provide repetitive documentation, thereby improving the overall experience of handling government affairs [11][12] - The regulations also highlight the importance of data security, requiring government departments to implement necessary measures to prevent data breaches and misuse [14][15][16] - Future implementation of the regulations will require careful planning and coordination to ensure effective data sharing and utilization across various government departments [16][17]

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].

Group 1 - The core viewpoint emphasizes the unprecedented determination and strength of the Central Committee since the Third Plenary Session of the 18th CPC Central Committee to break through ideological constraints and institutional barriers, initiating a significant reform process [1][3] - The meeting reviewed and approved several important documents, including opinions on integrating party leadership into corporate governance and establishing a green low-carbon circular economy system [2][6] - The reforms are characterized by deep changes in thought theory, organizational methods, national systems, and broad public participation, leading to historic achievements and transformations [3][4] Group 2 - The ongoing reform process faces complex contradictions and challenges, with a need to align reforms with national strategic goals such as high-quality development and risk prevention [5] - The establishment of a green low-carbon circular economy is crucial for addressing ecological issues, emphasizing the importance of resource efficiency and environmental protection [6] - The meeting highlighted the need for optimizing budget management, improving tax enforcement methods, and establishing a financial court to support national financial strategies [7]

中国社科院大学教授江小涓表示，政务数据是国家重要的基础性战略资源，推进政务数据共享对提升 政府效能、促进经济社会发展、服务群众和企业等具有重要作用。《条例》系统建立了政务数据共享 及相关安全、监督、管理制度，对于破解政务数据共享障碍，加快推进政务数据高效共享，提升政府 数字化治理能力和政务服务效能具有重要意义，也为安全有序共享政务数据提供了有力保障。 破解"数据孤岛"难题 规范、高效的政务数据共享，是提升政务服务效能、助力经济社会高质量发展的有力抓手和重要引 擎。 《条例》所称政务数据，是指政府部门在依法履行职责过程中收集和产生的各类数据，但不包括属于 国家秘密、工作秘密的数据。 清华大学公共管理学院教授孟庆国表示，《条例》作为第一部促进政务数据共享流通的行政法规，首 次从国家层面以行政法规形式明确了政务数据共享的体制、路径、规则、保障措施、法律责任等，标 志着我国政务数据共享管理迈入法治化新阶段。 2025.06. 05 本文字数：2166，阅读时长大约4分钟 作者 | 第一财经 祝嫣然 政务数据共享有了全国性法规。《政务数据共享条例》（下称《条例》）近日公布，定于8月1日起 施行。 作为我国第一部专门规范 ...

作为第一部促进政务数据共享流通的行政法规，《政务数据共享条例》首次从国家层面以行政法规形式 明确了政务数据共享的体制、路径、规则、保障措施、法律责任等。 政务数据共享有了全国性法规。《政务数据共享条例》（下称《条例》）近日公布，定于8月1日起施 行。 作为我国第一部专门规范和推进政务数据共享的行政法规，《条例》填补了我国在政务数据共享领域的 立法空白。《条例》共8章44条，对政务数据共享管理体制、目录管理、共享使用、平台支撑、保障措 施等方面进行了部署。 中国社科院大学教授江小涓表示，政务数据是国家重要的基础性战略资源，推进政务数据共享对提升政 府效能、促进经济社会发展、服务群众和企业等具有重要作用。《条例》系统建立了政务数据共享及相 关安全、监督、管理制度，对于破解政务数据共享障碍，加快推进政务数据高效共享，提升政府数字化 治理能力和政务服务效能具有重要意义，也为安全有序共享政务数据提供了有力保障。 破解"数据孤岛"难题 规范、高效的政务数据共享，是提升政务服务效能、助力经济社会高质量发展的有力抓手和重要引擎。 《条例》所称政务数据，是指政府部门在依法履行职责过程中收集和产生的各类数据，但不包括属于国 家秘 ...