Core Viewpoint - Shanghai is accelerating the establishment of a large-scale trusted data space to enhance data flow, utilization, and security, serving as a key engine to unlock the value of data elements [1][3]. Group 1: Pilot Construction of Trusted Data Space - In July, the National Data Bureau announced the first batch of pilot projects for trusted data spaces, including 63 projects across 13 cities, 22 industries, and 28 enterprises, marking a significant step in exploring new models for large-scale data circulation [3]. - The pilot aims to create resource-rich, innovative, and effective trusted data spaces, forming replicable experiences in data resource development, security, and institutional innovation to support a unified national data market [3][4]. Group 2: Solutions to Application Pain Points - The trusted data space addresses issues such as data supply bottlenecks, concerns over data usage, and trust deficits in data circulation, which hinder efficient data utilization [3][4]. - It employs a multi-dimensional strategy for data supply control, allowing data providers to set precise authorization policies and dynamic usage restrictions, ensuring data sovereignty and preventing misuse [7]. Group 3: Technical Principles Behind Trusted Data Space - The trusted data space utilizes blockchain technology to ensure full traceability and control over data circulation, establishing a reliable environment for data value exchange [7][10]. - It incorporates standardized technical specifications and governance protocols to facilitate trust among diverse participants, essential for efficient data value exchange in complex urban ecosystems [10][11]. Group 4: Industry-Specific Applications - The trusted data space encourages industry leaders to establish their own data spaces, fostering tailored governance mechanisms and cultivating data ecosystems closely linked to industry applications [8]. - It has entered the trial operation phase, with leading enterprises exploring its core value in various business contexts, including financial services and healthcare [14][17]. Group 5: Nationwide Data Infrastructure - Shanghai's trusted data space is designed to be compatible with international standards, facilitating cross-border data circulation and integration with third-party applications [11][13]. - It has already attracted nearly 300 enterprises, aggregating thousands of data resources and developing over 300 data products, with cumulative data calls reaching billions [17].

Core Viewpoint - The establishment of a trusted data space in Shanghai aims to address challenges in data circulation and sharing, such as privacy protection and trust issues, thereby unlocking the value of data as a new production factor in the digital economy [1][2]. Group 1: Trusted Data Space Concept - The trusted data space can be likened to an e-commerce platform where various industry participants operate their own data "stores," allowing for controlled data flow and usage strategies [2][3]. - The initiative is part of a national pilot program, with 63 projects selected, including 13 cities and 28 enterprises, marking a significant step in exploring new models for large-scale data circulation [2][3]. Group 2: Addressing Bottlenecks - The trusted data space addresses three main bottlenecks: concerns over data misuse and leakage from providers, doubts about data quality and source from users, and difficulties in online negotiations and value consensus during data circulation [2][3]. - Solutions include setting permissions for data usage, ensuring data is "usable but not visible," and employing blockchain technology for auditability and traceability [3]. Group 3: Infrastructure and Cost Efficiency - Shanghai has developed a robust data circulation infrastructure, integrating blockchain and privacy computing to lower transaction costs and ensure secure data flow [4][5]. - The trusted data space is designed to be open and standardized, facilitating integration with third-party applications and providing essential capabilities like identity verification and data product certification [5]. Group 4: Practical Applications and Impact - The trusted data space is currently in trial operation, with nearly 300 enterprises participating and over 300 data products developed, leading to billions of data calls [6]. - Specific applications include financial services for small and micro enterprises, with significant loan amounts supported through data-driven decision-making [6][7].

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]