国家数据局公示可信数据空间创新发展试点名单 标杆引领助力数据要素流通

Core Insights - The establishment of trusted data spaces aims to resolve data circulation challenges and enhance the value of data elements through distributed architecture and consensus mechanisms [2][3] - The initiative is expected to create new opportunities for the data industry and significantly impact various sectors, driving high-quality economic development [2] - By 2028, the goal is to establish over 100 trusted data spaces, achieving breakthroughs in operations, technology, ecology, standards, and security [1] Group 1: Trusted Data Space Development - The National Data Bureau has announced a pilot list of 63 enterprises for the 2025 trusted data space innovation development project, categorized into urban, industry, and enterprise directions [1] - The project aims to cultivate a rich resource environment, innovative applications, and a prosperous ecosystem for trusted data spaces over two years [1] - Trusted data spaces are seen as essential infrastructure for data resource sharing and are crucial for building a unified national data market [1] Group 2: Industry Impact - Trusted data spaces are expected to facilitate efficient connections and cross-domain sharing of industrial data resources in key sectors such as equipment, new energy vehicles, and energy [2] - In the financial sector, trusted data spaces will enhance the sharing and deep mining of customer credit data and market risk data, improving risk assessment models [2] - The integration of government data, supply chain information, and consumer behavior in credit risk scoring models can significantly improve risk identification accuracy [2] Group 3: Financial Ecosystem Collaboration - The construction of trusted data spaces promotes collaboration and value co-creation within the financial ecosystem, involving banks, regulatory bodies, technology companies, and core enterprises [3] - Financial modeling, as a key tool in this ecosystem, provides precise decision support and risk management services by integrating diverse data resources and technologies [3] - The application of artificial intelligence and cross-industry data fusion is becoming a trend, expanding the use of financial modeling beyond traditional finance professionals to fields like accounting and finance [3]