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国家数据局:支持数据交易所探索建立全链条服务体系
(文章来源:央视新闻客户端) 国家数据局今天(25日)表示,支持数据交易所(中心)加快探索建立数据流通交易全链条服务体系。相关 负责人指出,数据交易所是我国首创,在孵化产品服务、合规保障、标准建设、生态培育、推进数据市 场与金融市场融通发展、拓展国际合作等方面发挥了积极作用,支持数据交易所在推进数据要素价值释 放中更好找准自身市场定位,提升综合服务能力,积极推进公共数据产品流通交易,完善数据产品服务 价格发现机制,在繁荣数据产业生态等方面作出更大贡献。 ...
主题论坛预告丨华为&上海数据集团“AI+数据基础设施”主题论坛
第一财经· 2025-11-23 05:04
型联手席 扇 湖木米 2025全球数商大会 Global Data Ecosystem Conference 2025 乘数无界 主题论坛 Al+数据基础设施 释放数据要素价值 있, 上海国际会议中心 7F 上海厅2 ( 2 2025年11月26日(周三) 09:00-11:25 国家数据政策方向新指引 数据流通利用新方案与新实践 I+数据高效协同激发新价值 请 搜 l XI 8 华为展台 展台位置: T03 展示内容 数据基础设施 数据要素X 优秀实践 生态合作 88 交通 指 引 会议地点:上海国际会议中心 7F 上海厅2 导航地点:上海国际会议中心东方滨江大酒店(滨江大道2727号) 六十 数回版t,会议! 129.778.9 11 (2) 时家防 中中国语 尊敬的女士/先生: 仕贸子经济浪潮卖涌回削、数据娄系价值目益口亚的 当下,数据已成为驱动经济增长与创新变革的核心引擎。 作为数据行业盛会,2025年11月25-26日,以"数联全球 商通未来 -- 乘数无界∞"为主题的第五届全球数商大会 将于上海盛大启幕。届时,来自政府、产业、学术及企业 代表将齐聚一堂,通过主旨演讲、对话讨论、成果展览、 项目对接 ...
我国将在国家数据基础设施建设先行先试中加强场景应用
Xin Hua She· 2025-10-31 13:25
Core Insights - The National Data Bureau has released an implementation plan to enhance scenario applications in the construction of national data infrastructure, aiming to shift from "well-built" to "well-used" [1][2] - The plan emphasizes the importance of scenario construction as a key path to cultivate a unified national data market and unlock the value of data elements [1] Group 1 - The plan proposes a strategy of "promoting construction through use and ensuring use through construction," which aims to strengthen the role of scenario applications in driving the development of data infrastructure [1] - It focuses on transforming the potential of data infrastructure into actual effectiveness by ensuring that infrastructure construction resonates with practical needs [1] - The plan aims to support efficient data aggregation, sharing, circulation, and utilization, enhancing the infrastructure's capability to support scenario implementation [1] Group 2 - Key scenario construction directions include intelligent data retrieval, secure and efficient data transmission, large model training and inference, and intelligent collaboration [2] - The plan also supports the establishment of institutional mechanisms for public data registration, processing, authorized operation, circulation pricing, and revenue distribution [2] - The National Data Bureau will establish a cross-departmental coordination mechanism to enhance data supply and security, organize scenario application competitions, and promote the replication of successful experiences [2]
广东推进“数据要素×”:加快数据条例立法,打造可信数据空间
Core Viewpoint - The "Data Element ×" initiative is being actively implemented across various provinces in China, with Guangdong leading the way in integrating data resources to enhance the digital economy and support the real economy's development [1][2]. Group 1: Implementation and Policy Support - Over ten provinces have developed comprehensive or specific work plans for the "Data Element ×" initiative, supported by financial policies [1]. - Guangdong is focusing on the deep integration of real numbers, providing public data, multi-source data, and industry data, along with policies for data security and infrastructure [1][2]. - The province has introduced several policy documents to promote digital economy and public data utilization, accelerating the legislative process for the "Guangdong Data Regulations" [3]. Group 2: Data Resource Development - Guangdong has established the "One Network Sharing" platform, serving 2342 departments with 260,000 data requests, and has opened over 27 billion public data records to society [2]. - The province is developing high-quality data sets in various sectors, including biomedicine and green finance, with several projects recognized by the National Data Bureau [2][3]. Group 3: Ecosystem and Talent Development - Guangdong is enhancing the digital economy ecosystem by promoting effective supply-demand matching and developing data industry clusters [3]. - The province has implemented talent development initiatives, including a professional title evaluation standard for big data engineering and vocational training subsidies, with 1416 individuals obtaining big data professional certificates [3]. Group 4: Data Element Competition - The first "Data Element ×" competition saw over 22,000 teams participating, with more than 900 projects selected for the national finals [4]. - The Guangdong competition showcased increased participation, with a 30% rise in entries compared to the previous year, highlighting regional collaboration within the Guangdong-Hong Kong-Macao Greater Bay Area [5]. - Innovative projects in healthcare and industrial manufacturing demonstrated significant improvements in data processing accuracy and operational efficiency [5][6].
数据之声 | 刘奡:提升技术产品能力 推动文化数据资产合规开发和有序利用
Xin Hua Cai Jing· 2025-09-12 05:41
Core Viewpoint - The event highlighted the need for enhancing technical product capabilities to ensure the compliant development and orderly utilization of cultural data assets, which are crucial for sustainable development in the digital economy [1][2]. Group 1: Cultural Data Assets - Cultural data assets are recognized as important data elements that face risks such as easy transportability, piracy, and unauthorized derivative creations [1]. - There is an urgent need to improve technical product capabilities to ensure the compliant development and orderly utilization of cultural data assets, aiming for their preservation and appreciation [1]. Group 2: Technological Support and Innovation - The rapid iteration of digital technology and the booming data industry necessitate technological innovation and cross-industry integration to unlock the value of data elements [1]. - In the cultural and tourism sectors, establishing a one-stop cultural data service platform can facilitate the digital organization, management, transaction evaluation, rights confirmation, authorization analysis, and comprehensive monitoring and protection of data assets [1]. Group 3: Cross-Industry Collaboration - Cross-industry integration is vital for driving innovation and enhancing the value of data elements, as it improves data circulation efficiency and fosters collaborative innovation across different sectors [2]. - The openness of data is crucial for cross-industry integration, with competitions like the "Data Elements ×" providing valuable resources for technology-driven companies [2]. Group 4: Recognition and Awards - Beijing Tengrui Cloud Cultural Technology Co., Ltd. won the first prize in the Beijing division of the "Data Elements × Culture Tourism" competition for its project on sustainable development of cultural digital data assets, which integrates management, protection, and operation of data assets [2]. Group 5: Digital Economy Forum - The "Xinhuanet Digital Economy Salon" series aims to create a high-end think tank exchange platform focusing on the theoretical frontiers, innovative practices, and key issues in the digital economy [3]. - The launch of the "Voice of Data" information release column aims to provide insights into digital economy policies, local data practices, and exemplary cases of digital enterprises [3].
上海城市可信数据空间试运行 已有近300家企业加入 形成数据产品超300个
Jie Fang Ri Bao· 2025-08-22 01:47
Group 1 - Shanghai is exploring a unified technical framework and governance protocol to establish a "maximum consensus" among various participants in the data space, addressing issues such as data supply, flow, usage, and security [1] - The Shanghai urban-level trusted data space has accelerated its implementation and became one of the first 63 innovative development pilot projects announced by the National Data Bureau in July [1] - The trusted data space aims to resolve bottlenecks in data value release, including concerns over data misuse, complex supply processes, and inconsistent data quality [1] Group 2 - The trusted data space is currently in trial operation, with nearly 300 participating enterprises and over 300 developed data products, accumulating billions of data calls [2] - Leading companies are exploring deep applications of the trusted data space, utilizing multimodal public data for decision-making during flood risk periods and enhancing services like navigation and delivery [2] - The trusted data space encourages industry leaders or alliances to establish their own operational data spaces across various sectors, including finance, healthcare, and smart manufacturing [2]
年底前将数据流通节点城市扩至50个左右 这场发布会信息量很大
Core Viewpoint - The National Bureau of Statistics of China announced significant achievements in the construction and development of a digital China during the "14th Five-Year Plan" period, emphasizing the importance of data as a production factor and social wealth for high-quality economic development [1][7]. Group 1: Data Infrastructure and Policies - The National Bureau of Statistics plans to introduce over 10 new systems, including data property rights, and aims to expand data circulation node cities to around 50 by the end of the year [1][8]. - By June 2025, the number of 5G base stations is expected to reach 4.55 million, a fivefold increase from 2020, while gigabit broadband users are projected to grow 34 times to 226 million [2]. - The data industry is rapidly growing, with the number of data enterprises expected to exceed 400,000 and the industry scale reaching 58.6 trillion yuan, a 117% increase from the end of the "13th Five-Year Plan" [5]. Group 2: Data Utilization and Economic Impact - In the first half of the year, the number of new data products launched by major data trading institutions reached 3,328, a 70% year-on-year increase, with high-quality data set products increasing by 280% [3]. - Data-driven solutions have significantly improved efficiency across various sectors, such as a 5.5% increase in agricultural yield through smart fertilization and a 15-fold improvement in drilling decision efficiency in the industrial sector [5]. - The application of data in the service industry has led to a 30% increase in operational efficiency for freight matching [5]. Group 3: Regional Development and Industry Ecosystem - The Yangtze River Delta is emerging as a key growth area for the data industry, with its scale expected to account for 22.6% of the national data industry by 2024, housing over 100,000 data enterprises [6]. - Major cities like Beijing, Shanghai, Guangzhou, Shenzhen, and Hangzhou are attracting leading enterprises and fostering a trend of industrial ecosystem clustering [6]. Group 4: Innovations in Data Models - New models such as "data corpus pricing as equity" are being piloted in cities like Shanghai and Tianjin, allowing companies to convert high-quality data sets into equity investments [9]. - As of June, over 35,000 high-quality data sets have been established, with a total volume exceeding 400PB, and the trading volume of high-quality data sets reached nearly 4 billion yuan [9].
钢铁业利润回升效益向好
Jing Ji Ri Bao· 2025-08-06 21:59
Core Viewpoint - The Chinese steel industry has experienced a reduction in production and a significant increase in profits in the first half of the year, driven by national policy adjustments and industry self-discipline [1][2]. Group 1: Economic Performance - In the first half of the year, the total revenue of key steel enterprises was 29,985 billion yuan, a decrease of 5.79% year-on-year, while total profits reached 592 billion yuan, an increase of 63.26% [2]. - The average profit margin for the steel industry was 1.97%, up by 0.83 percentage points year-on-year [2]. - National crude steel production was 515 million tons, down 3.0% year-on-year, aligning with national industrial control policies [2]. Group 2: Inventory and Market Dynamics - The average month-end steel inventory for key steel enterprises was 18.91 million tons, the lowest level in nearly four years [3]. - The industry is witnessing structural development opportunities despite overall reductions, with increasing demand for high-end manufacturing materials and green low-carbon materials [3]. Group 3: Environmental and Technological Advancements - Investment in energy conservation and environmental protection by key steel enterprises accounted for 28.9% of total investments, an increase of 4.3 percentage points year-on-year [4]. - The industry is focusing on achieving ultra-low emissions, with 193 steel enterprises completing or partially completing emission reduction assessments [4]. - The application of artificial intelligence in steel production and operations is accelerating, with companies like Shougang and Nanjing Steel leading in digital transformation [5]. Group 4: Industry Challenges and Future Outlook - The steel industry is in a deep adjustment period, facing strong supply capabilities against weakening demand, leading to a recovery in profits but with insufficient sustainability [6]. - The Ministry of Industry and Information Technology has issued new guidelines to enhance industry standards and promote structural adjustments [6]. - The industry is expected to benefit from national policies aimed at expanding domestic demand, which will provide a favorable environment for development [7].
多措并举“点数成金”
Jing Ji Ri Bao· 2025-07-14 22:10
Core Viewpoint - The article emphasizes the importance of leveraging data as a new production factor to drive economic growth and improve efficiency across various industries, highlighting the need for a demand-driven approach to unlock the value of data [1][2][3]. Group 1: Data as a Production Factor - Data is increasingly integrated into various industries, enhancing the efficiency of traditional production factors such as materials, talent, technology, and capital, thereby promoting high-quality economic development [1]. - The application of data in diverse scenarios can lead to the emergence of new business models and economic growth opportunities [1]. Group 2: Industry Development Ecosystem - A robust industry development ecosystem is essential for maximizing data value, which includes nurturing data service providers and encouraging innovative operational models [2]. - The number of data service companies in China has exceeded 1 million over the past decade, playing a crucial role in activating data value [2]. Group 3: Data Security and Compliance - Ensuring data security and compliance is critical, as both corporate and personal data are sensitive and require protection of rights and privacy [3]. - Establishing a trustworthy data circulation environment involves collaboration among leading enterprises and industry associations to create a standardized and compatible data space [3]. Group 4: Market Development and Challenges - The ongoing market-oriented reform of data allocation is expected to enhance the value of data in social governance, industrial upgrading, and improving people's livelihoods [3]. - Addressing issues such as data barriers, low supply quality, and inefficient circulation is necessary to develop a fair and efficient data market [3].
“数据要素×”行动取得阶段性成效
Xin Hua She· 2025-06-24 07:51
Core Insights - The "Data Element ×" initiative has achieved significant progress in over a year, uncovering a number of excellent data development and utilization solutions that effectively promote the release of data element value across various industries [1][2] Group 1: Initiative Overview - The initiative is driven by pilot projects in sectors such as financial services, meteorology, and traditional Chinese medicine, aimed at addressing challenges in data aggregation, circulation, and usage within industries [1] - A total of 48 typical cases of "Data Element ×" have been published, facilitating the use of data to solve industry development challenges and enhance quality [1] - The "Data Element ×" competition attracted over 19,000 teams and approximately 100,000 participants last year, resulting in a number of replicable, scalable, and high-value data development projects [1] Group 2: Future Directions - The National Data Bureau plans to continue advancing the "Data Element ×" initiative in collaboration with various departments, focusing on typical application scenarios to explore new models and pathways for releasing data element value [2] - There is an emphasis on encouraging more enterprises to participate in pilot projects, case selection, and competition activities to activate data element value and provide new momentum for high-quality development across industries [2]