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公共数据资源开发利用
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北京加大场景开放和数据开放 赋能人工智能应用
Jing Ji Guan Cha Wang· 2025-08-12 01:03
Group 1 - The core viewpoint of the document emphasizes the acceleration of public data resource development and utilization in Beijing, aiming to create an innovative environment for data services while ensuring data privacy [1] - The implementation opinion highlights the construction of a public data training base to promote shared corpus and empower artificial intelligence applications [1] - It outlines the establishment of a collaborative innovation simulation platform for smart cities, enhancing scenario and data openness to aggregate innovation resources and release value [1] Group 2 - The document discusses the creation of a value-added collaboration network for data circulation and utilization, facilitating the integration of public data products and services into the national data market [1] - It stresses the role of public data in accelerating the formation of an open, interconnected, and efficiently circulating trusted data space in various sectors, including culture, finance, healthcare, education, land use, meteorology, and transportation [1]
北京:加大场景开放和数据开放 赋能人工智能应用
Jing Ji Guan Cha Wang· 2025-08-11 02:26
Core Viewpoint - The implementation opinions released by the Beijing Municipal Party Committee and the Beijing Municipal Government aim to accelerate the development and utilization of public data resources in Beijing, enhancing data service capabilities and fostering an innovative environment for data utilization [1] Group 1: Data Service Capabilities - The initiative emphasizes strengthening collaborative and efficient data service capabilities to provide social entities with a public data resource environment where "original data does not leave the domain, and data is usable but not visible" [1] - A public data training base will be established to promote the co-construction and sharing of corpora, empowering artificial intelligence applications [1] Group 2: Smart City and Innovation - The construction of a collaborative innovation simulation platform for smart cities will be prioritized, increasing scene and data openness to enable the aggregation of innovative resources and the release of value [1] - A data circulation and utilization value-added collaboration network will be built to integrate public data products and services into the national integrated data market [1] Group 3: Sectoral Focus - The initiative aims to leverage public data to accelerate the formation of an open, interconnected, and efficiently circulating trusted data space in various sectors, including culture, finance, healthcare, education, land space, meteorology, and transportation [1]
关于加快北京市公共数据资源开发利用的实施意见
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].