唤醒"沉睡"的医疗大数据 广州发布卫生健康行业可信数据空间首批成果 近日，广州市卫生健康委员会举行广州卫生健康行业可信数据空间成果发布会，发布包括5个数据产品 及28个高质量数据集。据了解，广州卫生健康行业可信数据空间借鉴了国内外先进的数据技术和管理经 验，结合广州实际，力求打造一个能够实现医疗健康数据安全可信流通、促进数据价值释放的平台，解 决卫生健康数据"供不出""流不动""用不好"的问题，目前已成功汇聚了多家医疗机构的高质量数据。医 疗机构可依托空间在通用全科、专科专病和便民服务方面进行创新，破解"三长一短"就医痛点；药械企 业、科研机构可依托空间，在药械研发、临床试验和药械应用等方面进行场景创新，对生物医药产业实 现全链条升级，缩短药械研发周期，赋能生物医药产业高质量发展。 推动医疗数据合法合规安全流通 "共和国勋章"获得者、中国工程院院士钟南山在视频致辞中表示，当下"人工智能+""数据要素×"正在以 前所未有的速度改变着我们的生活方式、工作模式和社会结构，同样也牵引健康医疗事业深刻变 革，"从科学研究到临床实践各个环节，以新质生产力赋能医疗健康行业和生物医药产业的高质量发 展，聚焦民生福祉、开展行业 ...

每经记者｜张蕊 每经编辑｜陈旭 没有安全，数据流通就无从谈起；没有流通，数据就难以赋能千行百业。 5月10日，以"数智无界 安全共生"为主题的2025中国数谷·西湖论剑大会在杭州开幕。 中国计算机学会（CCF）原理事长、CCF计算机博物馆馆长梅宏在大会主论坛上提到，没有数据就不可能有智能，就像燃料和火箭的关系一样。现在业界经 常讲本轮AI革命的三要素：算法、数据、算力，实际上数据是关键。 推动AI（人工智能）向AGI（通用人工智能）演进，数据与AI的深度融合非常重要，但现在缺乏高质量的数据集致数据流通受限，这是不是一个关键的堵 点？ 对于《每日经济新闻》记者提出的这一问题，安恒信息技术股份有限公司（SH688023，股价49.18元，总市值50.30亿元，以下简称安恒信息）高级副总裁、 研究院院长王欣表示，数据的流通受限确实是一个关键问题。 私有数据是让模型落地到场景里发挥价值的关键因素 王欣对《每日经济新闻》记者表示，整个模型从构建到应用落地分为两个方面：一方面，现在"大厂"做一些基础的通用模型训练，更多用到的是互联网的网 页数据。这里存在一些具体数据层面的安全问题，主要是数据质量问题，这影响了模型本身的能 ...

Core Viewpoint - The establishment of a trusted data space in Guangzhou aims to enhance the integration and utilization of healthcare data, facilitating innovation in medical services and research while ensuring data privacy and security [1][2][3] Group 1: Data Products and Resources - The first batch of data products and high-quality datasets in Guangzhou includes five data products and 28 datasets related to various health conditions, such as pneumonia and liver cancer [1] - The projected outpatient volume for Guangzhou in 2024 is expected to reach 187 million, indicating significant potential in healthcare data resources [1] Group 2: Data Integration and Collaboration - The trusted data space connects hospitals, enterprises, and research institutions, establishing a data circulation mechanism to promote integrated governance and orderly flow of medical data [1][2] - Medical institutions are encouraged to share their data; for instance, a hospital has structured and anonymized seven specialized disease databases for integration into the trusted data space [2] Group 3: Data Utilization and Innovation - The trusted data space provides 100 petabytes of computing power to support algorithm training for hospitals, enabling innovation in general and specialized medical services [2] - Data from newborn jaundice cases is being utilized in collaboration with enterprises to validate and optimize algorithms for non-invasive jaundice testing [2] Group 4: Data Security and Privacy - The trusted data space implements privacy computing and audit mechanisms to ensure data does not leave the domain and its usage is traceable, addressing concerns about data misuse [2] - Each usage scenario requires a digital contract that specifies the purpose, permissions, and duration of data use, alleviating hospitals' concerns about potential data abuse [2] Group 5: Future Expansion Plans - The trusted data space currently covers 18 research hospitals in Guangzhou, with plans to expand its data resources and connect with at least 50 third-party data service providers and over 100 enterprises [3]

Group 1 - The core viewpoint of the news highlights the rapid advancement of data infrastructure construction in China, aiming to establish a new high-quality development pattern through the implementation of a "credit report instead of proof of no violations" policy by 2025 [1][2] - The National Development and Reform Commission, along with the Ministry of Public Security and the National Data Bureau, has issued a notice to fully implement the "credit report instead of proof of no violations" initiative by September 2025, which will consolidate the data foundation for special credit reports [1][2] - The eighth Digital China Construction Summit showcased significant achievements in data infrastructure, including the release of 10 key data standardization results to guide pilot projects and data space construction [1][2] Group 2 - The establishment of the Trusted Data Space Development Alliance at the eighth Digital China Construction Summit aims to promote data sharing and collaboration across industries, with the alliance consisting of 19 state-owned enterprises and 20 research institutions [4] - The alliance has released draft guidelines for the Trusted Data Space Standard System and Capability Requirements, providing reference for practical implementation [4] - Qingdao has introduced a management method for data assets in administrative institutions, establishing a comprehensive lifecycle management system for data assets, including approval processes for paid usage and a dynamic revenue distribution mechanism [5]

今年以来，"可信数据空间"成为金融业的热议话题。 通过可信数据空间，供应链金融的核心企业、供应商与银行可共享数据，如订单合同、物流记录，验证交易真实 性并评估授信额度，缓解中小企业融资难题。 5月7日，南开大学金融学教授田利辉对《华夏时报》记者表示，传统供应链金融模式存在一定脆弱性，新技术为 破解中小企业融资难题提供了新路径，但需通过政策引导和技术普惠降低数据门槛，避免"数字鸿沟"扩大。 蚂蚁集团副总裁兼首席技术安全官、蚂蚁密算董事长韦韬也对本报记者表示，可信数据空间能够让大家敢于把数 据放到空间里，放心地让数据加工、融合、验证，行业对它有非常强烈的期待。 以"可信支点"打破数据孤岛 在金融信贷领域，中小微企业的经营数据多为非结构化的手工台账和单据，这些都导致数据难以直接利用。同 时，数据持有方担心隐私泄露，核心企业又害怕供应链数据暴露商业机密，使得数据难以流通共享，信贷领域"数 据孤岛"现象加剧。 华夏时报（www.chinatimes.net.cn）记者 付乐 北京报道 通常来说，供应链金融高度依赖链主企业的信用背书，例如供应链上游供应商的融资通常需要链主企业为其担 保，一旦链主企业授信额度耗尽，中小企业 ...

Group 1 - The report titled "Guidelines for Building a Trusted Data Space Based on Blockchain and Blockchain Service Network (BSN) (2025)" was published by the National Information Center, providing comprehensive guidance on the construction of trusted data spaces [1][5] - A trusted data space is defined as an infrastructure for data circulation and utilization based on consensus rules, featuring trusted user identities, trusted data circulation, and trusted revenue mechanisms [1][8] - The construction of trusted data spaces is significant for promoting the circulation of data elements and building a unified national data market, enhancing data supply quality and circulation efficiency [1][29] Group 2 - The construction approach emphasizes principles such as safeguarding rights and openness, focusing on the development positioning of trusted circulation [2][9] - The technical framework includes requirements for trusted control, resource interaction, and value co-creation capabilities, along with overall architecture and technical requirements [2][11] - Various operational models are proposed, including government-led and enterprise-led approaches, involving multiple stakeholders [2][12] Group 3 - The report outlines typical application cases and implementation paths, highlighting successful examples in different sectors such as cities, enterprises, and cross-border data spaces [2][11] - The implementation path includes strengthening policy guidance, establishing a digital foundation, and creating a standard system to promote the development of trusted data spaces [2][12] - The trusted data space can be applied across various fields, including enterprises, industries, cities, individuals, and cross-border scenarios, enhancing data collaboration and driving industry upgrades [1][33]

Core Insights - The signing of a joint research project between Huawei and the National Information Center aims to accelerate the value release of data and promote the digital transformation of cities through a credible data space connection base [1][3] - The development of data spaces is crucial for the efficient circulation and application of data elements, integrating public, enterprise, and personal data [3][4] Group 1: Project Overview - The project focuses on the architecture, operational mechanisms, and ecosystem of credible data space connections, involving over 50 participants from government, academia, and partners [3] - The initiative is part of a broader strategy to create a widely interconnected, resource-aggregated, and prosperous data space network that supports efficient data flow and utilization across various sectors [3] Group 2: Expert Opinions - Shan Zhiguang, Director of the Informationization and Industrial Development Department, emphasized the importance of building a secure and credible environment for data circulation to enhance urban data flow and integration [3] - Wang Wei, a professor at Central University of Finance and Economics, highlighted the shift from physical cities to digital urban ecosystems, advocating for refined operations and governance through comprehensive data sources [3] - Huawei's CEO of the Wide Area Network Division, Wei Feng, discussed the need for collaborative development of data, intelligence, and optical networks to support credible data space connections [3][4] Group 3: City Initiatives - Shenzhen is actively working on becoming a pioneer in digital twin cities, focusing on data resource sharing and cross-domain collaboration [4] - Hangzhou, as a pilot city for national data infrastructure, is developing a "Data Valley" network to facilitate high-speed, secure, and stable data flow and product transactions [4] - The evolution of urban networks is driven by the digital and intelligent development of cities, with Huawei committed to enhancing urban network infrastructure planning and construction [4]

Group 1 - The forum focused on the integration of trusted data spaces and artificial intelligence ecosystems, gathering over 300 guests including government leaders, experts, and industry leaders to discuss the development of digital China [1] - The current transformation of data elements is reshaping global industrial competition, with the market-oriented reform of data element allocation being a key issue for high-quality digital economic development [1] - The collaborative development ecosystem is being accelerated by dual drivers of policy guidance and technological innovation, emphasizing rules, market leadership, technological foundations, and breakthrough scenarios [1] Group 2 - Trusted data spaces are essential for the market allocation of data resources, requiring a consensus on rules and governance frameworks to establish a secure and transparent sharing ecosystem [2] - The integration of trusted data spaces with artificial intelligence is seen as a critical path to address the challenges of data usage, with a call for deeper collaboration to stimulate data dynamics [2] - The establishment of a city-level data operation community aims to address fragmented data scenarios and inefficient applications, focusing on cross-regional data resource collaboration and standardized operational models [4] Group 3 - The launch of the 2025 China Information Association Data Element Application Innovation Competition aims to explore high-value application scenarios of data elements across various fields [3] - The development of a "data element + large model" integration ecosystem is proposed to break down data barriers between research institutions and enterprises, facilitating a data-driven research paradigm shift [3] - The "Trusted Data Space Industry Interconnection Scenario Case Report" aims to identify replicable data space scenarios with specific characteristics to support large-scale applications [4]

4月29日，第八届数字中国建设峰会"可信数据空间分论坛"在福州举行。论坛上，可信数据空间发展联盟正式宣告成立，将成为加快构 建和深化发展以数据为关键要素的数字经济的重要平台。 论坛现场 可信数据空间发展联盟成立 随后，联盟秘书长、中国信息通信研究院总工程师敖立代表联盟发布《可信数据空间标准体系建设指南（2025年版）（征求意见 稿）》及《可信数据空间能力要求（征求意见稿）》，为空间实践落地提供参考指引。 可信数据空间发展联盟是由国家数据局指导，中国信息通信研究院、国家数据发展研究院联合中电科、国家管网、南方电网、长江三 峡、国家能源、中国矿产、数联物流、中国钢研、通用技术等19家央企、20家研究院所和龙头企业发起成立的跨行业、开放性、公益性组 织，首届轮值理事长由中国信息通信研究院院长余晓晖担任。联盟致力于搭建产学研用协同创新平台，聚焦行业痛点和实际需求，以实效 价值为导向推动可信数据空间应用标杆打造和产业培育，构建协同创新的发展生态。 形成协同创新合力 国家数据局党组书记、局长刘烈宏在致辞中指出，可信数据空间不仅是一种数据基础设施，更是数据共享共治、价值协作的产业生 态，也是推进全国一体化数据市场建设，推动 ...