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]

Core Points - The establishment of the Trusted Data Space Development Alliance aims to accelerate the construction and development of a data-driven digital economy [4][5] - The alliance will serve as a platform for policy implementation, ecological collaboration, and innovation dissemination, focusing on national strategic directions [4][5] - The alliance is guided by the National Data Bureau and includes participation from various central enterprises and research institutions, emphasizing cross-industry collaboration [8] Industry Developments - The National Data Bureau's "Trusted Data Space Development Action Plan (2024-2028)" aims to establish over 100 trusted data spaces by 2028, promoting data space solutions and best practices [9][10] - The Southern Power Grid has initiated the construction of a trusted data space for the energy sector, with plans to optimize data resource allocation and utilization [10][11] - By December 31, 2024, the Southern Energy Industry Trusted Data Space is set to begin trial operations, supporting multiple energy data circulation application scenarios [10][11]

2024年，我国数据生产总量同比增长25%；数字经济核心产业增加值占GDP比重10%左右；算力总规模 达到280EFLOPS，建成5G基站425.1万个；开发或应用人工智能的企业数量同比增长36%…… 4月29日，在福州举行的第八届数字中国建设峰会可信数据空间分论坛上，国家数据局最新发布了《全 国数据资源调查报告（2024年）》。报告晒出了"数字中国"建设10周年来，中国数字经济的亮眼"成绩 单"！能看到，十年间我国数据资源规模优势持续扩大，数据资源开发利用活跃度稳步提升，各类主体 加快AI布局投入，数据要素市场化、价值化进程进一步提速。 据悉，本次论坛以"共创可信空间，智启数据未来"为主题，国家数据局局长刘烈宏，福建省副省长李建 成出席并致辞，国家数据局副局长陈荣辉主持会议。 会上，包括邬贺铨、梅宏在内的多位院士，以及遥感、能源、矿产等行业的多家龙头企业负责人，纷纷 以专业视域解读当下数字经济热点、把脉数字产业方向，共同探讨如何在数字蓝海中探索可信数据空间 发展机遇。 可信数据空间：破解数据流通难题、 释放AI潜力的关键路径 可信数据空间是新型数据基础设施，是国家数据要素体系的重要组成部分。作为基础设施，当 ...

Core Insights - The construction of a trusted data space is seen as a new opportunity to address challenges in data circulation and value release in China [1][2][3] - The digital economy's rapid growth highlights the increasing importance of data as a core production factor, with the core industries of the digital economy projected to account for about 10% of GDP in 2024 [1] Group 1: Challenges in Data Utilization - Many enterprises have concerns regarding the security, compliance, and efficient circulation of data, leading to a significant amount of data remaining "asleep" and not realizing its potential value [1] - Issues such as unclear responsibilities, imperfect rules, and difficulties in establishing trust hinder effective matching between data supply and demand, restricting the scale and efficiency of data circulation [1] Group 2: Trusted Data Space as a Solution - The trusted data space is likened to a "data sandbox," allowing data providers to share data securely while enabling smaller enterprises to access necessary data, thus breaking the bottleneck in data integration and utilization [2] - The trusted data space is considered a new type of data infrastructure and a crucial part of the national data element system, aimed at solving the issues of data underutilization among enterprises [2] Group 3: Development and Implementation - Experts emphasize the need for unified concepts, practical benchmarks, and a long-term operational model to drive the development of the trusted data space [3] - The Shenzhen Data Exchange has pioneered a "1+N dynamic compliance" system and initiated a national data transaction credit system to facilitate cross-domain and cross-border data circulation [3] Group 4: Future Outlook - Continuous efforts in interconnectivity across technology, standards, data, and resources are essential for the long-term development of the trusted data space [4] - The role of operators as trusted third parties is critical, with a focus on market mechanisms and transparent rules to encourage active participation in data supply and usage [4]

Group 1 - The transaction of MRI imaging data assets in Fuzhou marks the first instance of medical data asset usage fees being collected into the national treasury, indicating a successful implementation of the entire process from inventory, registration, pricing, authorized operation to data asset trading [1] - The total transaction amount was 9,759 yuan, involving over 100 cases of brain MRI imaging data, purchased by Fuzhou Data Technology Research Institute Co., Ltd. The data was strictly anonymized to ensure personal information could not be traced back [1] - The medical data assets are primarily intended for the development of a digital jaw precision positioning system, highlighting the significance of health data in enhancing medical standards [1] Group 2 - Fuzhou has been a pilot city for the construction of national health medical big data centers since 2016, with continuous integration of health data into the regulatory platform covering 261 public hospitals and community institutions in the province [2] - The platform is expected to complete the collection and aggregation of over 200 billion medical data entries by October this year, with 20 billion entries already governed [2] - The establishment of a "trusted data space" within the government cloud aims to ensure that all data usage processes are completed securely, allowing for the development of AI models without exposing original data [2] Group 3 - The transaction is expected to activate the value of medical data assets, attracting AI medical enterprises and data service providers to collaborate, which will drive the value of the entire industry chain [3] - Fuzhou New Area aims to enhance the data asset management system and promote cross-regional data asset integration, striving to create a national hub for the circulation of medical data assets [3] - The focus is on efficient allocation and widespread application of medical data assets, fostering a more vibrant digital medical industry ecosystem [3]

Core Insights - The company, Daily Interaction, reported a revenue of 99.1861 million yuan for Q1 2025, focusing on the data intelligence sector and advancing its "self-data-governance" strategy [1] - The acceleration of AI model applications and rising demand for digital upgrades since the end of 2024 have prompted the company to innovate its products and services based on AI technologies [1] - Daily Interaction emphasizes the importance of quality data resources in the application of large model technologies, aiming to link and develop public and industrial data resources [1] Technology Application - Daily Interaction has developed exclusive vertical models for enterprises, industries, cities, and individuals based on the "trusted data space + controllable large model" concept, including private deployment services for large enterprises and hybrid cloud solutions for SMEs [2] - The company is assisting government departments and public institutions in building city-level trusted data spaces and has launched a personal assistant app, "GeZhi," for individual users [2] - Strategic partnerships have been established with organizations such as Zhejiang Telecom and China Electronics Cloud to explore applications in public data operations, smart healthcare, and smart transportation [2] Future Directions - Daily Interaction plans to continue building an open industrial ecosystem, promoting the development and sharing of data value across cities, enterprises, and individuals based on trusted data spaces and controllable large models [2]