建立健全安全高效的金融可信数据空间

Core Viewpoint - The construction of a trusted financial data space is essential for ensuring the secure and efficient flow of financial data, enhancing financial services, and supporting the high-quality development of China's financial sector [1][2][16]. Group 1: Necessity of Building a Trusted Financial Data Space - A trusted financial data space provides a credible circulation environment for the market-oriented allocation of financial data elements, enabling orderly value flow while ensuring data remains within its domain [2]. - The rapid digital transformation in finance has led to an increased demand for data sharing and circulation, necessitating a robust framework for data governance and security [2][3]. - The establishment of a trusted financial data space is crucial for optimizing the allocation of financial data elements, addressing issues such as unclear data ownership and lack of pricing mechanisms [2]. Group 2: Security and Risk Management - The trusted financial data space emphasizes privacy protection, utilizing advanced technologies like privacy computing and blockchain to ensure secure and controllable use of financial data [3][6]. - It aims to prevent cross-financial risks through a robust technical foundation that allows for the secure extraction of data value while maintaining data confidentiality [3][6]. Group 3: Supporting Financial Development Initiatives - The trusted financial data space is integral to the successful implementation of key financial initiatives, including technology finance, green finance, inclusive finance, pension finance, and digital finance [3][7]. - It facilitates the integration of data across various sectors, enhancing the ability to assess project benefits and optimize financial services [3][7]. Group 4: Infrastructure and Technological Framework - The trusted financial data space is characterized by a complex ecosystem that integrates advanced technologies, unified standards, and effective governance to provide secure and efficient data circulation services [4][10]. - It relies on a distributed architecture that ensures data authenticity and integrity during cross-institutional flows, supporting innovative business scenarios like cross-border payments and green finance [5][10]. Group 5: Implementation Pathways - The construction of a trusted financial data space requires a phased approach, focusing on high-value scenarios to establish benchmarks and drive broader adoption [8][15]. - Emphasis is placed on building core capabilities and fostering collaboration among various stakeholders to ensure the effective utilization of data resources [8][15]. Group 6: Governance and Regulatory Framework - A multi-faceted governance ecosystem is necessary to clarify the roles and responsibilities of various stakeholders, ensuring effective data sharing and compliance with regulations [14][15]. - The establishment of a clear standard system is crucial for guiding participants in the trusted financial data space, promoting orderly evolution from isolated breakthroughs to coordinated development [11][14].