数据要素市场化配置改革
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南财数据周报(48期):政务数据共享迈入法治化新阶段 山东连发两文推动“人工智能+”
2 1 Shi Ji Jing Ji Bao Dao· 2025-05-17 03:11
Group 1 - The National Data Bureau has issued the "Digital China Construction 2025 Action Plan," marking a significant step in guiding local data management departments in enhancing digital infrastructure and capabilities [2] - The State Council has approved the "Regulations on Government Data Sharing (Draft)," aiming to break down data barriers and establish a unified national government big data system to enhance public service accessibility [3] - The People's Bank of China has released the "Data Security Management Measures for the Business Areas of the People's Bank of China," which will take effect on June 30, focusing on data classification, management, and security compliance [4] Group 2 - Shandong Province has introduced two documents to accelerate the development of artificial intelligence, outlining specific measures and support policies to enhance AI capabilities across various sectors [5][6] - Liaoning Province is advancing the market-oriented allocation of data elements, planning to release several key documents to strengthen digital government construction and maximize data resource potential [7]
价格成本和认证中心与教育部学生服务与素质发展中心签署战略合作协议
news flash· 2025-05-16 07:29
价格成本和认证中心与教育部学生服务与素质发展中心签署战略合作协议 金十数据5月16日讯,5月8日下午,价格成本和认证中心与教育部学生服务与素质发展中心在北京举行 战略合作协议签约仪式。双方将立足国家数据要素市场化配置改革战略,充分发挥各自比较优势,聚焦 高等教育领域数据资源价值释放,共同构建科学高效的数据要素成本核算与价格形成机制,为教育现代 化与高质量发展注入新动能。 ...
杭州“中国数谷”阶段性成果发布:超120家数商企业 接入“三数一链”
Hang Zhou Ri Bao· 2025-05-13 03:01
Group 1 - The "Three Data One Chain" initiative marks a significant step in the market-oriented reform of data factor allocation in China, with the release of phase results at the 2025 China Data Valley West Lake Forum [1] - The initiative includes a data trading venue, data invoices, a data internet, and a cross-chain recognition mechanism, aimed at establishing a credible data circulation infrastructure and governance system [1] - Key components of the initiative include a co-creation platform, two testing standards, three trusted data spaces, six tool platforms, eight industry application scenarios, and the involvement of over 120 data service enterprises [1][2] Group 2 - Over 120 data service enterprises have joined the "Three Data One Chain," covering sectors such as finance, agriculture, and education across 10 provinces [2] - The initiative has led to the establishment of a trusted data space in agriculture, involving over 100 agricultural enterprises, and has provided precise marketing support for 38 categories in the consumer sector [2] - A new initiative titled "Data Elements × Artificial Intelligence Empowering High-Quality Development" was launched to foster collaboration among government, industry, academia, research, and application sectors [2] Group 3 - The conference also announced several significant outcomes, including the phase results of the marine economy's trusted data space and the "Data Service Enterprise Evaluation Standards (Trial)" [3] - The Hangzhou High-tech Zone (Binjiang) aims to leverage national policy opportunities to advance the construction of "China Data Valley," focusing on becoming a new engine for the digital economy and a new landmark for industrial development [3] - The region plans to enhance its data infrastructure and resource supply efficiency while expanding its digital industry cluster to contribute significantly to the high-standard construction of "China Data Valley" [3]
数字经济核心产业量质齐升
Jing Ji Ri Bao· 2025-05-06 21:57
Group 1: Digital Economy Development - In 2024, the core industry value added of China's digital economy is expected to account for about 10% of GDP, with data production reaching 41.06 ZB, a year-on-year growth of 25% [1] - The total computing power scale is projected to reach 280 EFLOPS, with 5G base stations totaling 4.251 million and mobile IoT terminal users reaching 2.656 billion [1] - The eight major hub regions account for over 60% of the newly added computing power nationwide [1] Group 2: Artificial Intelligence Integration - The "Artificial Intelligence +" initiative aims to better integrate digital technology with manufacturing and market advantages, supporting the widespread application of large models [2] - In 2024, the number of enterprises developing or applying artificial intelligence is expected to increase by 36%, with high-quality data sets growing by 27.4% [3] - The number of enterprises utilizing large model data technology and data application enterprises is projected to grow by 57.21% and 7.14%, respectively [3] Group 3: Data Element Reform - The national data market transaction scale is expected to exceed 160 billion yuan in 2024, with a year-on-year growth of over 30% [5] - The national public data resource registration platform has approved 700 items of registered data since its launch [5] - The "data element" theory proposed by China Electronics aims to optimize data flow and enhance data utilization efficiency [6] Group 4: Data Infrastructure and Security - The construction of data infrastructure is crucial for high-quality supply, credible circulation, and high-level application of data [8] - The "密态可信数据空间" product supports secure data integration and processing, addressing challenges in data value release [8] - A multi-dimensional defense system is being developed to mitigate risks associated with data leakage and misuse in large model applications [9]
数据跑起来 服务优起来
Guang Zhou Ri Bao· 2025-04-29 21:27
Core Viewpoint - The National Data Bureau has officially released 70 key public data demonstration scenarios aimed at enhancing the supply, circulation, and utilization of public data, marking a significant step in the market-oriented reform of data elements in China [1][2]. Group 1: Public Data Utilization - The initiative focuses on transforming public data from a "static archive" to a "dynamic flow," thereby enhancing its social benefits and economic development potential [2][3]. - The demonstration scenarios cover essential sectors such as healthcare, transportation, finance, and environmental protection, addressing public needs and improving service delivery [2][3]. Group 2: Governance and Service Optimization - The upgrade in governance philosophy emphasizes the need for technology to enhance public service efficiency, moving towards a model where data sharing reduces the burden on citizens [3]. - Examples include the "one-stop" service model for newborn documentation in Fujian and the establishment of a trusted data space in Guangzhou, which collectively improve service quality and decision-making accuracy [3]. Group 3: Future Prospects - The construction of demonstration scenarios is viewed as a starting point for further exploration and innovation in data utilization, with expectations for more scenarios to emerge that enhance public services [3].
数据筑基AI创新,高质量供给点燃数智融合新引擎
Xuan Gu Bao· 2025-04-29 14:55
据上证报报道,4月29日,国家数据局局长在第八届数字中国建设峰会开幕式上表示,当前,加快推进 数字中国建设,要紧紧抓住人工智能发展带来的前所未有的机遇,推动数据要素市场化配置改革和"人 工智能+"行动同频共振。持续推进高质量数据供给。加快推动数据要素与人工智能、科技创新、产业 发展和赋能应用相结合,推动行业高质量数据集建设,推动数据产业高质量发展,为人工智能技术创新 和产业应用提供坚实的数据基础,确保"人工智能+"行动到哪里,高质量数据集的建设和推广就到哪 里。 银河证券表示,AI技术正在引发一场"静默的工业革命"一其本质是通过数据智能重构经济系统的熵减机 制,预计到2035年AI核心产业,包括算力基础设施、AI智能终端与硬件、AI算法与软件等,将直接贡 献GDP约10%。 中信证券表示,国内数据产业链仍处于发展初期,当前AIInfra、数据要素、国产化信创三大产业趋势驱 动下,数据产业链有望迎来新一轮发展机遇。预测数据库、数据平台、基础数据服务三个核心环节的需 求弹性显著,有望率先受益于需求扩增打开市场空间,数据库:传统关系型数据库为信创核心品类,政 策和资金支撑下具备较高弹性;数据平台:大数据平台向"数据 ...
刘烈宏:紧紧抓住人工智能发展带来的机遇,加快推进数字中国建设
news flash· 2025-04-29 02:57
Core Viewpoint - The National Data Bureau emphasizes the importance of accelerating the construction of Digital China by leveraging unprecedented opportunities brought by artificial intelligence, promoting market-oriented data factor allocation reform, and synchronizing the "AI+" initiative [1] Group 1: High-Quality Data Supply - The National Data Bureau aims to continuously promote high-quality data supply by integrating data factors with AI, technological innovation, and industrial development [1] - The focus will be on building high-quality data sets for industries to provide a solid data foundation for AI technology innovation and application [1] - The goal is to ensure that the construction and promotion of high-quality data sets align with the implementation of the "AI+" initiative [1] Group 2: Computing Power Infrastructure - The Bureau plans to systematically advance the construction of a national integrated computing power network [1] - An innovative mechanism for coordinating computing power and electricity will be developed, promoting integrated, centralized, and green development of computing facilities [1] - The target is to ensure that over 60% of new computing power is concentrated at national hub nodes, with more than 80% of electricity used in new large data centers coming from green sources [1] Group 3: Data Circulation and Trading - The Bureau will vigorously promote the market-oriented valuation of data factors and refine the three rights division scheme for data property rights [1] - Efforts will be made to cultivate a national integrated data market and establish a standard system for data circulation and trading [1] - The initiative includes detailing circulation and trading rules, promoting the release of standard demonstration contracts for data circulation and trading, and enhancing data infrastructure to facilitate cross-entity, cross-industry, and cross-domain data collaboration and reuse [1]
筹备4个月今日挂牌的国家数据发展研究院,是什么来头?
Bei Ke Cai Jing· 2025-04-25 13:10
国家数据局终于迎来首个下属事业单位。 4月25日,国家数据局首个正局级事业单位——国家数据发展研究院正式揭牌,首任院长由中国信息通信研究院原副院长、 原总工程师胡坚波担任。 "自去年12月数研院筹备启动以来,筹备组克服困难、迎难而上,机构设置、人员编制、机构职能等'小三定'基本完成,规 章制度初步建立,对局支撑工作有序开展,业务体系快速形成,各方面工作逐渐步入正轨,圆满完成了既定筹备任务。"刘 烈宏介绍。 作为国家数据局直属事业单位,国家数据发展研究院的主要职责是以服务国家重大战略部署为首要目标,紧紧围绕发展改 革中心工作和数据领域重点任务,深入开展数据领域基础性前瞻性战略性问题研究,研究提出数据资源整合共享政策建 议,承担数据相关基础制度建设和重大项目论证评估,推进算力监测、运营和调度平台建设,协助推进数据集、语料库开 发建设,推动搭建数据领域国际合作新平台。 目前,据新京报贝壳财经记者多方了解,国家数据发展研究院目前分为四个"小组",二十余人的团队人员主要来自中国信 息通信研究院,首任院长由中国信息通信研究院原副院长、原总工程师胡坚波担任。 2025年1月16日,胡坚波首次以国家数据发展研究院院长的身份, ...
依托“数据金库”,郑州在数据要素市场化配置改革中跑出 "加速度"
Huan Qiu Wang· 2025-04-10 03:15
Group 1 - The core viewpoint of the article is that the Henan provincial government aims to establish Henan as a significant data circulation hub and industrial development highland by 2029, supported by the successful completion of the "Data Vault" project by China Electronics (Zhengzhou) Data Industry Co., Ltd. [1][3] - The implementation of a "negative list management" model for public data supply in Zhengzhou has led to the first batch of 275 items of external data being made available, creating a clear governance system for data elements [1][3] - Zhengzhou has been recognized as a pilot city for national data circulation infrastructure, achieving rapid progress in market-oriented data element allocation through institutional innovation and technological breakthroughs [3][4] Group 2 - The establishment of a "1+5+24" data foundation system in Zhengzhou integrates "institution + technology + market" to accelerate the construction of a national data warehouse, facilitating large-scale circulation across key sectors such as finance, transportation, education, and healthcare [3] - In the financial sector, eight types of public data, including household registration and real estate, have been opened for application in Henan, while in transportation, data assetization has been advanced through collaboration with China Electronics [3] - Zhengzhou has received multiple honors, including being named a "National Data Element Comprehensive Pilot Zone" and an "Excellent Public Data Authorization Operation Model Award" [3] Group 3 - Zhengzhou is collaborating with China Electronics to operate the China Electronics (Zhengzhou) Data Innovation Center, attracting 35 ecosystem enterprises across the data processing, trading, and compliance consulting sectors [4] - The 2024 "Data Element ×" Ecological Conference, co-hosted by China Electronics and the Zhengzhou government, attracted nearly 2,000 participants and around 650 ecosystem enterprises, focusing on deepening cooperation in data-driven industrial integration [4] - Future efforts will focus on optimizing data authorization systems, enriching urban data asset connotations, and building a new type of infrastructure for data security and elementization, aiming to create a data element industry cluster centered in Zhengzhou and radiating across Central China [4]
中国电信答每经问:基于云网能耗数据构建智慧基站、机房节能等应用,2024年累计节省电费6.4亿元,减少碳排放50万吨
Mei Ri Jing Ji Xin Wen· 2025-04-02 11:58
Group 1 - The core viewpoint of the news is the importance of data resource development and utilization in enhancing enterprise competitiveness and driving the digital economy in China [1] - China Telecom is leveraging its vast multi-source data advantages to innovate in data elementization and value realization, contributing to green low-carbon applications and achieving significant cost savings and carbon reduction [2][4] - The company has established a "Star Sea Big Data" service system to release telecom data value across various industries, including finance, culture, and government [4][9] Group 2 - China Telecom has provided big data SMS reminder services to over 300 government and enterprise users, enhancing public service efficiency [6] - The company has developed a comprehensive data element service capability system, achieving significant improvements in data processing efficiency and AI-assisted labeling [7] - In the area of data circulation, China Telecom has introduced technologies such as trusted computing and blockchain, which have been recognized with awards for their advancements [8] Group 3 - China Telecom has supported over 150 government and enterprise users with its self-developed data resource development and utilization platform, improving data processing efficiency by 30% for clients like China Aneng Group [9] - The company has integrated various data types to build big data platforms for multiple sectors, enhancing public service effectiveness and emergency response capabilities [9] - Future plans include further promoting efficient data circulation and value release to foster the integration of the digital economy and the real economy [9] Group 4 - China Electronics Technology Group (CETC) emphasizes the role of data as a new production factor, driving technological innovation and enhancing productivity [10] - CETC has developed a trusted data space product to facilitate data sharing and utilization, addressing common issues in data circulation [11] - The company is advancing core technology innovations in the data field, integrating AI with high-quality data resources to create a "data flywheel" effect [12] Group 5 - CETC has created over 500 task models across various industries, demonstrating the multiplier effect of data elements in driving industry transformation and innovation [12] - In the energy sector, CETC has developed rapid coal quality detection technology, significantly improving detection efficiency and accuracy [13]