国家数据局组织北京、上海等18个城市，开展可信数据空间、数场等6条技术路线先行先试。为推动各 地数据基础设施协同联动，国家数据局构建全域功能节点、区域功能节点、城市业务节点三层技术架 构，已布局建设7个区域功能节点，建成25个城市业务节点，初步构建了覆盖16个省（区、市）的数据 基础设施主体架构，在一定范围内实现了数据"一点发布、全域可见"，应用"一点部署、跨区通用"。预 计到今年底，城市业务节点规模将进一步扩大至50个左右，覆盖80%的省（区、市）。 组织建设一体化算力网试验验证平台，以63项指标绘制全国算力资源"动态地图"，初步实现对东数西算 八大枢纽十大集群、部分非枢纽省份、三大运营商及曙光超算互联网的监测调度，覆盖901个算力设 施，可调度4万PFLOPS跨主体跨地域多元算力，提供40余款通算、智算、超算等产品服务。 （文章来源：人民日报） 本报北京9月6日电 （记者王云杉）记者从国家数据局获悉：一年来，国家数据基础设施建设取得了积 极进展，正在逐步形成以释放数据要素价值为目标、以网络为支撑、以算力为底座、以数据流通利用设 施建设为重点的新型基础设施体系。 发布《国家数据基础设施建设指引》，明确提出国 ...

本报北京9月6日电 （记者王云杉）记者从国家数据局获悉：一年来，国家数据基础设施建设取得了积 极进展，正在逐步形成以释放数据要素价值为目标、以网络为支撑、以算力为底座、以数据流通利用设 施建设为重点的新型基础设施体系。 发布《国家数据基础设施建设指引》，明确提出国家数据基础设施概念，确立"三步走"推进思路。 优化算力资源布局。据测算，在西部建设运营数据中心综合成本约为东部的50%—70%，具备较大成本 优势。八大国家枢纽节点已建成智算规模62万PFLOPS（1PFLOPS即每秒千万亿次），约占全国智算总 量的80%。 《 人民日报 》（ 2025年09月07日 03 版） (责编：白宇、卫嘉) 关注公众号：人民网财经 国家数据局组织北京、上海等18个城市，开展可信数据空间、数场等6条技术路线先行先试。为推动各 地数据基础设施协同联动，国家数据局构建全域功能节点、区域功能节点、城市业务节点三层技术架 构，已布局建设7个区域功能节点，建成25个城市业务节点，初步构建了覆盖16个省（区、市）的数据 基础设施主体架构，在一定范围内实现了数据"一点发布、全域可见"，应用"一点部署、跨区通用"。预 计到今年底，城市业务节 ...

Core Viewpoint - The event focused on the construction of data infrastructure and its role in supporting the digital economy and technological innovation, emphasizing the need for a new infrastructure system that prioritizes data value release, network support, and computing power as a foundation [1][14]. Group 1: Event Overview - The "Data Infrastructure Theme Exchange Activity" was held in Guiyang, gathering representatives from government, industry, academia, and research to discuss the construction path of data infrastructure and the national integrated computing power network [1]. - Key officials, including Liu Liehong, the head of the National Data Bureau, highlighted the goal of creating a new infrastructure system aimed at high-quality standards, large-scale facility deployment, and market-oriented ecological operations [1]. Group 2: Regional Economic Performance - In the first half of 2025, Guizhou's GDP grew by 5.3%, with 49 key data centers under construction or in operation, achieving over 90% in intelligent computing and domestic production rates [2]. Group 3: Technological Innovations - Chen Jianfeng from the Chinese Academy of Engineering discussed innovations in green data centers, projecting that China's total computing power electricity consumption will exceed 300 billion kWh by 2024, with a significant reduction in energy consumption through new cooling technologies [3]. - The "cloud-edge computing" concept proposed by Wang Huaimin aims to connect dispersed computing resources through a collaborative mechanism, enhancing operational efficiency across over 900 computing centers [4]. Group 4: Industry Insights - Yu Xiaohui from the China Academy of Information and Communications Technology emphasized the need to address connectivity and circulation issues in data infrastructure, with the National Data Bureau's "three unifications" laying the groundwork for data connection [6]. - Xu Qiang from the National Information Center proposed a "three fives" strategy for computing power network construction, focusing on inclusive computing, green development, and addressing supply and service efficiency challenges [7]. Group 5: Monitoring and Evaluation - Hu Jianbo from the National Data Development Research Institute introduced a monitoring system with "four dimensions, three levels, and 60 indicators" to ensure effective management and utilization of data infrastructure [9]. Group 6: Local Practices and Achievements - Jiang Yang, Deputy Director of Guizhou Data Bureau, shared five initiatives that led to the establishment of 49 data centers and significant improvements in computing power and latency [11]. - Wang Wanjun from Jiangsu Data Bureau reported that the province's computing power reached 61.54 Eflops, with the digital economy's core industry contributing 11.8% to GDP [12]. Group 7: Key Outcomes - The event announced three significant outcomes: the establishment of a national integrated computing power network monitoring and scheduling platform, the second batch of pilot projects for national data infrastructure, and successful case studies demonstrating cross-domain integration [13][14].

人民财讯8月29日电，8月28日下午，国家数据局在贵阳市成功举办2025中国国际大数据产业博览会"数 据基础设施主题交流活动"。国家发展改革委党组成员、国家数据局局长刘烈宏指出，国家数据基础设 施正在逐步形成以释放数据价值为目标，以网络为支撑，以算力为底座，以数据流通利用设施建设为重 点的新型基础设施体系。面向"十五五"，国家数据局将进一步聚焦高质量的标准构建、大规模的设施部 署、市场化的生态运营，持续打造便捷高效、自主安全、世界领先的国家级数据基础设施，有效支撑数 字经济发展、科技创新和全国统一大市场建设。 ...

Group 1 - The core viewpoint of the news is that during the "14th Five-Year Plan" period, China's digital infrastructure has achieved world-leading status in terms of scale and technology, significantly contributing to the development of the digital economy and data circulation [1][2][3] - As of June 2023, the total number of high-quality data sets built in China exceeds 35,000, with a total volume of over 400PB, which is approximately 140 times the digital resource volume of the National Library of China [4][5] - By the end of 2023, the number of data circulation node cities in China is expected to expand to around 50, covering 80% of provinces, laying a foundation for large-scale cross-domain data circulation [3][5] Group 2 - The National Data Bureau has introduced over 10 new systems, including data property rights, as part of a comprehensive policy approach to promote the market-oriented allocation of data elements [2] - The number of 5G base stations is projected to increase fivefold by June 2025 compared to 2020, reaching 4.55 million, while the number of gigabit broadband users is expected to grow 34 times to 226 million [2] - The digital economy is expected to see software revenue grow by 80% by the end of 2024 compared to 2020, and the added value of the electronic information manufacturing industry is projected to increase by over 70% [2] Group 3 - The National Data Bureau has established data infrastructure guidelines and technical specifications to support the construction and operation of data infrastructure, with over 2,000 entities connected to the infrastructure [3] - The "data corpus equity investment" model is being piloted to encourage enterprises to convert high-quality data sets into equity investments [5] - The National Data Bureau plans to continue promoting the construction of high-quality data sets and enhance the recognition of data element value across society [5]

Core Insights - The report presented by Professor Zhao Xi focuses on the national data infrastructure policy framework and introduces the "INDDIGO" industry data infrastructure prototype system, emphasizing the importance of data as a strategic national resource comparable to electricity and communication [1][2]. Group 1: National Data Infrastructure - Data is increasingly recognized as a strategic national resource, necessitating a coordinated approach to build an efficient and trustworthy infrastructure network for data circulation and value transformation [1]. - The report highlights the need for a top-level design and systematic implementation of data infrastructure to support large-scale data flow and value creation [1]. Group 2: INDDIGO Prototype System - The "INDDIGO" system integrates four technological frameworks: blockchain, token technology, privacy computing, and data governance, aiming to address key issues such as weak data supply willingness and unclear distribution mechanisms [2]. - The system is designed to facilitate a data value co-creation infrastructure, focusing on key technological breakthroughs and economic models for data circulation [2]. Group 3: Application and Collaboration - Several enterprises and institutions have expressed interest in collaborating on the implementation of the INDDIGO system in various sectors, including government data integration and healthcare finance [3]. - The development of the INDDIGO system is the result of over a decade of technological accumulation and policy observation, addressing the core issue of lacking foundational infrastructure for data value circulation [3].

Core Viewpoint - Liaoning Province has become the first in the country to implement a three-year action plan for the construction and operation of data infrastructure from 2025 to 2027, aiming to enhance industrial transformation and high-quality development through a "dual-chain" model of data and industry [1] Group 1: Action Plan and Objectives - The action plan includes a key task list for 2025 and aims to leverage data infrastructure to release the value of data elements, facilitating industrial transformation [1] - The "dual-chain" model integrates data chains and industrial chains to empower the real economy, focusing on sectors such as petrochemicals, metallurgy, and healthcare [1][2] Group 2: Implementation and Expected Outcomes - The "demonstration samples" outline the overall situation of the industry, the current state of the industrial chain and data infrastructure, and the specific goals for empowering industrial transformation through the dual-chain approach [2] - Future steps include accelerating the transformation of sample industries, establishing collaborative mechanisms, and promoting significant breakthroughs in data utilization and supply chain collaboration [2] - The initiative aims to create a long-tail effect within the province's industrial chain and a radiation effect for other industrial chains, ultimately injecting new momentum into the province's economic and social development [2]

Core Viewpoint - The government is increasing financial support for the construction of long-term data infrastructure projects, emphasizing the importance of foundational and public data systems [1] Group 1 - The national data bureau announced that the central government will continue to increase fiscal funding to support local and industry-specific foundational data infrastructure projects [1] - The government plans to effectively utilize ultra-long-term special treasury bond funds to accelerate the establishment of a national data infrastructure framework [1] - There is a focus on expediting the development of a national data infrastructure plan in alignment with the "14th Five-Year Plan" [1]

Group 1 - The core viewpoint is that Tianjin has been approved to establish a national digital economy innovation development pilot zone, focusing on optimizing data infrastructure and accelerating the construction of a data network [1] - The data infrastructure aims to provide services for data collection, aggregation, transmission, processing, circulation, utilization, operation, and security, which are essential for releasing the value of data elements [1] - The data network will consist of data circulation access terminals, networks, and service platforms, aiming to create a secure and trustworthy environment for data circulation across various levels and sectors [1] Group 2 - The data network allows for "raw data not leaving the domain, data being usable but invisible," facilitating the open sharing of government data and efficient circulation of public and enterprise data [2] - An action plan for accelerating the construction of the data network over the next three years is being formulated, with specific districts identified for pilot applications [3] - Initial applications will cover 17 key areas, including healthcare, industrial manufacturing, transportation, and financial services, utilizing privacy computing technology to break down data barriers [3]