Group 1 - The core theme of the 2025 Global Digital Economy Conference is "Accelerating Data Value Release through Reform and Innovation" [1] - The establishment of the National Data Bureau in October 2023 has led to the issuance of over 20 policy documents focusing on data elements, public data utilization, and high-quality data industry development [1] - Beijing's "One District, Three Centers" strategy aims to create a comprehensive experimental zone for market-oriented data element allocation, establishing a National Data Management Center, National Data Resource Center, and National Data Circulation and Trading Center [1][2] Group 2 - The city plans to enhance the positioning of the data management center by strengthening services for central institutions and ensuring the implementation of management platforms and service facilities [2] - The National Data Bureau will deploy the creation of a comprehensive experimental zone for data elements in September 2024, with Beijing's government leveraging this opportunity for the "One District, Three Centers" initiative [2] - The experimental zone will focus on addressing various development challenges in the data elementization, marketization, and valuation processes, promoting high-quality data supply and efficient circulation [2] Group 3 - On July 3, at the 2025 Global Digital Economy Conference, Beijing Bank and Beijing International Big Data Exchange launched a new data product development support loan called "Data Hui Loan" [3] - This product targets the financing needs of data enterprises during product development, encouraging them to list data assets or products on the Beijing International Big Data Exchange for exclusive interest rate discounts [3] - Beijing Bank aims to strengthen support for the data element industry and collaborate with think tanks, technology platforms, and industry players to build an open and collaborative "digital ecosystem" [3]

数字经济时代，数据作为关键生产要素价值日益凸显。据6月6日国家数据局消息，我国将在北京、浙 江、安徽等地部署建设10个国家数据要素综合试验区，支持各地在培育经营主体、繁荣壮大数据市场等 方面开展先行先试，全面释放实体经济和数字经济融合效能。 全联并购公会信用管理委员会专家安光勇在接受《证券日报》记者采访时表示："当前我国数据市场建 设还处于起步阶段，顶层政策与试验区建设为数据要素市场按下'加速键'。要最大程度释放数据要素价 值，需质量、合规、场景、资本、人才五路并进，把数据从'成本中心'转变为跨周期增长的'乘数效应发 动机'。" 政策红利持续释放 数据要素的市场化、价值化，受到政府的高度重视。5月26日下午，国家数据局党组书记、局长刘烈宏 主持召开培育全国一体化数据市场座谈会。会议提出，要深入贯彻落实党中央、国务院决策部署，大力 推动数据要素市场化价值化，让数据要素价值加快"显性化"。市场化是手段，价值化是目的。既要积极 推动公共数据开发利用，持续发力数字政府建设和经济社会发展；又要积极推动企业用数创新，让数据 要素价值体现在企业降本增效里，体现在培育新质生产力中，体现在赋能经济社会高质量发展上。 此前，支持 ...

Core Insights - Data is the core productivity of the digital economy, and its circulation is transitioning from "internal circulation" to "external circulation" [1][4] - The lack of trust presents three major challenges in releasing data value: insufficient processing, integration, and verification [1][4] Group 1: Data Challenges and Solutions - A significant amount of data remains in its "raw" state, lacking primary processing and handling [5] - The existence of "data silos" makes it difficult to integrate multi-source data, hindering the formation of high-value data products [5] - The establishment of a "trusted data space" is crucial for promoting credible data circulation and utilization across different entities, industries, and regions [1][5] Group 2: Trusted Data Space Development - The concept of a "trusted data space" involves connecting multiple parties based on consensus rules to achieve data resource sharing and utilization [2][3] - By 2028, China aims to establish over 100 trusted data spaces, creating a series of solutions and best practices [3][4] - The trusted data space can enhance trust in data processing, integration, and verification, addressing the industry's strong expectations for data security [4][5] Group 3: Agricultural Data Utilization - In Jiamusi, Heilongjiang, public data is being utilized to support modern agricultural inclusive finance, allowing farmers to access loans more easily [2][3] - The integration of over 50,000 agricultural data points into a standardized system is underway, leveraging blockchain and other technologies for data-driven financial services [2][3] Group 4: Future Directions and Challenges - Current applications of trusted data spaces are mostly exploratory and need to develop replicable and scalable models [6] - High-level security guarantees are essential for unlocking data value, especially in high-value and sensitive industries [5][6] - Continuous technological advancements and policy support are necessary to optimize data value release and address security threats in data circulation [5][6]