政务数据共享
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政务数据“跑”起来如何为百姓办实事?解析读懂这本数据“字典”↓
Yang Shi Wang· 2025-06-08 05:49
Core Viewpoint - The introduction of the "Regulations on Government Data Sharing" aims to enhance the efficient and secure sharing of government data, thereby improving digital governance capabilities and public service effectiveness, contributing to the establishment of a digital government [1] Group 1: Definition and Classification 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-related secrets [4] - This data can be categorized into two types: data collected from businesses and individuals (e.g., household registration, educational qualifications) and data collected during government operations (e.g., natural resources, geographic data) [6] Group 2: Challenges and Solutions in Data Sharing - The traditional government service model has led to "data silos," hindering inter-departmental collaboration and administrative efficiency, negatively impacting the experience of businesses and citizens [6][22] - The new regulations aim to break down these barriers by establishing a structured approach to data sharing, enhancing the efficiency of government operations and improving the decision-making process through integrated data analysis [8][19] Group 3: Implementation of Data Sharing - The regulations specify a clear process for data sharing applications, with unconditional sharing data requiring a response within one working day and conditional sharing data within ten working days, ensuring faster data flow between departments [12][15] - A detailed directory will be implemented to manage government data, outlining the specific content, sharing attributes, methods, and conditions for use, facilitating easier access to data [14][17] Group 4: Benefits of Data Sharing - The implementation of these regulations is expected to provide tangible benefits to citizens and businesses by reducing the need for multiple submissions of documents and minimizing the bureaucratic burden, thus enhancing the overall experience of interacting with government services [21] - The sharing of government data across departments, regions, and systems is anticipated to unlock significant value for government operations, economic development, social governance, and environmental protection [19][22]
事关你我!政务数据共享带来哪些便利?专家详解新规
Yang Shi Xin Wen· 2025-06-07 13:17
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]
南财数据周报(51期):10个国家数据要素综合试验区启动建设;高质量数据集技术文件将加快研制
2 1 Shi Ji Jing Ji Bao Dao· 2025-06-06 10:27
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]
为奇葩证明跑断腿、基层重复填报?政务数据共享条例将破堵点
Nan Fang Du Shi Bao· 2025-06-06 06:23
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]
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].
习近平主持召开中央全面深化改革委员会第十七次会议
Ren Min Ri Bao· 2025-06-06 03:16
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]
首个全国性政务数据共享法规出台,哪些亮点值得关注
第一财经· 2025-06-05 07:21
Core Viewpoint - The recently published "Regulations on Government Data Sharing" marks the first national-level legislation in China aimed at promoting and regulating government data sharing, set to take effect on August 1. This regulation addresses the management system, directory management, sharing usage, platform support, and security measures related to government data sharing [1][3]. Group 1: Importance of Government Data Sharing - Government data is considered a crucial strategic resource for the nation, and promoting its sharing is vital for enhancing government efficiency, fostering economic and social development, and serving the public and enterprises [1][3]. - The regulation establishes a legal framework for government data sharing, marking a new phase of legal governance in this area [3][4]. Group 2: Management System and Responsibilities - The regulation creates a management system for government data sharing that covers all levels of government and clearly defines the responsibilities of different entities involved in the sharing process [3][4]. - It emphasizes the primary responsibility of government departments in data sharing, requiring them to establish dedicated institutions for managing data sharing tasks [4]. Group 3: Addressing Data Quality and Redundancy - The regulation aims to resolve issues such as unclear data inventory and redundant data collection by establishing a unified data directory system, promoting comprehensive and interconnected high-quality national data directories [4][5]. - It also introduces a quality management system for government data, emphasizing collaboration among data source departments and other relevant government entities to enhance data quality [4][5]. Group 4: Detailed Sharing Rules - The regulation categorizes government data into three types: unconditional sharing, conditional sharing, and non-sharing, with specific timelines for responding to sharing requests [5][6]. - It outlines detailed operational processes for data sharing, aiming to improve efficiency and reduce uncertainties in the sharing process [5][6]. Group 5: Platform Support and Security Measures - A unified national big data system is proposed to support government data sharing, ensuring interoperability among various data platforms [6][7]. - The regulation includes robust security measures, assigning clear responsibilities for data management and usage, and establishing a complaint mechanism to protect citizens' and enterprises' rights [9]. Group 6: Future Implications - The introduction of this regulation is seen as a tool to break the "data island" dilemma and ensure safe and standardized sharing of government data, which is expected to drive high-quality development and contribute to building a digital China [9].
首个全国性政务数据共享法规出台,哪些亮点值得关注
Di Yi Cai Jing· 2025-06-05 03:08
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 ...
政务数据“全国一盘棋”加速,数据ETF(516000)近1年累计涨超33%
Mei Ri Jing Ji Xin Wen· 2025-06-04 02:36
Group 1 - The core viewpoint of the news is the positive performance of the China Securities Big Data Industry Index and its related ETF, indicating a growing interest and investment in the big data sector [1][2] - As of June 4, 2025, the China Securities Big Data Industry Index increased by 0.86%, with notable gains from constituent stocks such as Kehua Data (up 3.07%) and Aofei Data (up 2.68%) [1] - The Data ETF (516000) has shown a significant annual increase of 33.33%, ranking first among comparable funds, reflecting strong market performance [1] Group 2 - The recent announcement of the "Regulations on Government Data Sharing" by the State Council aims to enhance the efficiency and security of government data sharing, which is expected to improve digital governance capabilities [1] - The regulations address long-standing issues in government data management, such as unclear data sources and redundant collection, providing a systematic legal framework for data sharing [1] - The Data ETF closely tracks the China Securities Big Data Industry Index, which includes companies involved in various aspects of big data, such as storage, analysis, and application [2]
《政务数据共享条例》解读|王钦敏:夯实政务数据共享法制根基 全面提升政府数字化治理和服务水平
Xin Hua She· 2025-06-04 02:27
Core Viewpoint - The newly released "Regulations on Government Data Sharing" establishes a legal framework for promoting the sharing of government data, enhancing inter-departmental collaboration, and ensuring data security, thereby supporting the digital transformation of the government and modernizing the national governance system [1][2][7]. Group 1: Importance of Government Data Sharing - Government data plays a crucial role in decision-making, economic regulation, public services, market supervision, and social governance, yet issues like "data silos" and unclear data foundations persist [2][3]. - The regulations aim to address these challenges by promoting efficient and orderly sharing of government data, which is essential for improving administrative efficiency and advancing the construction of a digital China [2][3]. Group 2: Key Features of the Regulations - The regulations outline specific requirements for the management system, directory management, sharing usage rules, platform support, and security measures, emphasizing a systematic and innovative approach [4][5][6]. - A management system is established to clarify the responsibilities of various government levels and departments, promoting unified standards and legal sharing of data [4]. - The regulations propose unified directory management to address issues of incomplete and non-standard data directories, ensuring data is searchable and traceable [4]. - Sharing usage rules are detailed to prevent redundant data collection by government departments, clarifying the responsibilities of data source departments [4][5]. Group 3: Implementation and Future Directions - The regulations are seen as a starting point for a new phase of legal governance in data sharing, with recommendations for building a comprehensive regulatory framework and enhancing the implementation system [7]. - There is a call for the establishment of a robust support system for data sharing, including promoting successful case studies and exploring the value of data in enhancing government governance and public service [7].