全国一体化数据市场的建设，在促进数据产业保持高速增长的同时，也将驱动实体产业降本增效、提质 创新。 2025年"数据要素×"大赛全国总决赛颁奖仪式暨2025全球数商大会开幕式11月25日在上海举办，有183个 获奖团队上台领奖，包含上述这家医院的团队。大会以区块链、隐私计算、人工智能、可信数据流通等 核心技术为主线，集中发布多项成果，包括沪新合作在数字身份和电子认证文件互认的合作成果、矿产 数据出海标准创新联合体上线、上海区块链创新基金揭牌、区块链信用证应用场景上线等。同时，上海 数据集团与国家数据发展研究院联合编制发布《基于统一数据基础设施的行业可信数据空间建设运营白 皮书》，旨在推动可信数据空间的标准化建设与运营。 国家数据局局长刘烈宏在大会上表示，国家数据局下一步将聚焦建设开放、共享、安全的全国一体化数 据市场，加大对数据商在内的各类数据流通服务机构的培育力度，以繁荣数据产业生态，进一步激发市 场活力，释放数据要素的价值。他特别提到了三类数据流通服务机构的作用：支持数据交易所（数据交 易中心），加快探索建立数据流通交易全链条的服务体系；支持数据流通服务平台企业加快拓展行业数 据融合利用的新模式；支持数商 ...

Core Insights - The National Data Bureau is committed to supporting local governments in deepening the integration of data elements, aiming to unleash the multiplier effect of data elements [1][2][3] Group 1: Policy Support and Implementation - Effective support policies have been established, ensuring better implementation of the "Data Elements ×" action plan, with over 10 provinces and cities, including Shandong, having developed comprehensive or specific work plans [1] - Local governments are creating "Four Libraries" (Project Library, Scenario Library, Case Library, Expert Library) to implement tailored strategies for enterprises, enhancing investment and problem-solving [1] Group 2: Grassroots Exploration and Value Release - Localities are exploring diverse paths for releasing the value of data elements through pilot projects, competitions, and case promotions, with a focus on optimizing supply chain collaboration and innovating with external data [2] - Public data is being utilized to improve government governance and public service levels, leading to new applications in urban governance and emergency response [2] Group 3: Deep Integration of Data Elements - Regions are accelerating the deep integration of data elements, leveraging their resource advantages to enhance traditional industries and foster the growth of emerging sectors [3] - The "Data Elements ×" competition has seen over 22,000 teams registered, with more than 900 projects selected for the national finals, scheduled for mid to late October in Beijing and Shanghai [3]

Group 1 - The core viewpoint of the articles emphasizes the implementation of "data element ×" actions across various provinces, showcasing the multiplier effect of data elements in enhancing economic and social development [1][2] - More than 10 provinces and cities have developed comprehensive or specific work plans for the "data element ×" initiative, supported by financial incentives and policies [1] - Local governments are creating databases, including project, scenario, case, and expert libraries, to tailor strategies for individual enterprises, thereby increasing investment and addressing challenges [1] Group 2 - In the tourism sector, Chongqing has utilized multi-source data to create an intelligent optimization model for tourism routes, resulting in a 25 percentage point increase in visitor satisfaction [2] - Shandong has developed a "data-driven marine tourism joint operation" model, leading to a 150% increase in marine tourism products and a 172% rise in visitors [2] - Jiangsu has launched a unified data exchange, listing 3,933 data products and attracting 1,864 data vendors and third-party service providers within five months [2] - The release of the data element multiplier effect has also fostered the cultivation of digital talent, with Guangdong implementing standards for evaluating big data engineering technical talent and providing training subsidies [2]

"比如，过去孩子入学需要线下排长队、跑动3次、提交10份材料、耗时超15天，现在实现全程网办，仅 需学生家长身份证、5天内就能收到通知书。"胡军国说。 最后，重庆推动"数据要素×"城市安全，强化数字赋能感知预警，通过打造"韧性安全城市治理一张 图"，实现60万余个风险点位全落图、2100万余个感知设备全接入、1900万余件事件全汇聚，相关隐患 数据全提示、问题数据全推送，有效推动了各类风险早发现、早处置。强化数字赋能指挥调度，通过数 据流整合带动业务流、决策流和执行流，融合视联网、单兵设备、无人机等资源，开发AI视频孪生、 融合会商等功能，形成"一体部署、三级贯通、五级调用、多跨协同"指挥调度体系，确保城市在日常情 况下高效运行、极端情况下安全运行。 中国经济网北京9月28日讯（记者 李方） 9月28日上午，国家数据局举办"数据要素×"系列第三场新闻发 布会。重庆市大数据应用发展管理局党组成员、副局长胡军国指出，重庆以率先承担数字中国建设综合 试点为契机，扎实推进数字重庆建设，创新打造一体化智能化公共数据平台，率先建成市域一体、两级 管理、三级贯通的公共数据资源管理体系，充分释放数据要素乘数效应，较好实现数据 ...

Group 1: Data Element Action Plan - The "Data Element ×" three-year action plan (2024-2026) aims to enhance scenario-driven demand, promote high-quality supply of data elements, and facilitate compliant and efficient circulation of data [1] - Since the implementation of the action plan, significant progress has been made in the marketization and valuation of data, with nearly 500 digital technology companies established by central enterprises and about 66% of industry leaders purchasing data [1] - Data applications in various sectors are expanding, with notable improvements in industrial and agricultural productivity, such as a 30% reduction in high-end product development cycles and a 5.5% increase in agricultural yield [1] Group 2: Transportation Sector Data Utilization - The transportation sector is identified as a key area for leveraging the multiplier effect of data elements, with a focus on expanding supply through shared and open data [2] - The Ministry of Transport is constructing a comprehensive transportation big model based on a "1+N+X" technical architecture, which includes a general model base and multiple industry-specific models [2] - A transportation data sharing and exchange system has been established, aggregating 2.7 billion data entries and providing 1.4 billion services, facilitating cross-regional and cross-departmental collaboration [2] Group 3: Agricultural Data Integration - The agricultural sector is rich in data resources, with ongoing efforts to integrate new technologies like big data and AI into agricultural practices [3] - The "Farm Direct" app has registered 1.08 million users, linking various agricultural elements and enabling functionalities such as field management and loan approvals [3] - The "Zhejiang Livestock Industry Brain" project exemplifies successful data sharing across multiple departments, aiding in risk management and financial support for livestock farms [3] Group 4: Scientific Data and Innovation - The Chinese Academy of Sciences is promoting the circulation of scientific data elements, generating multiplier effects in fields like biomanufacturing and astronomy [4] - The Academy has established 32 scientific data centers, accumulating 260 petabytes of data, and is enhancing data security and accessibility [5] - Innovations include the development of a data-driven robotic chemist platform and improvements in carbon cycle models based on ecological data [5] Group 5: Healthcare Data Management - The National Medical Insurance Bureau has established a unified medical insurance information platform covering 1.33 billion insured individuals and facilitating the management of 3 trillion yuan in medical expenses annually [6] - The platform processes over 1 billion new data entries daily, with a total of 4.11 petabytes of data accumulated [6] - The integration of drug traceability information into public data resources enhances drug safety and regulatory efficiency [7] Group 6: Emergency Management Data Competitions - The "Data Element ×" competition has launched an emergency management track with three focus areas: enhancing safety production supervision, improving natural disaster monitoring, and advancing emergency management intelligence [8][9] - Teams are encouraged to explore data integration from various sectors to identify potential safety risks and improve disaster response capabilities [8][9] - The competition aims to foster the development of high-quality datasets for training models and applying intelligent robotics in emergency scenarios [9]