金融大家评 | 刘烈宏：以高水平数据基础设施助力数字中国建设

Core Viewpoint - The article emphasizes the importance of building national data infrastructure as a strategic choice for enhancing high-quality development and gaining international competitive advantages in the digital economy era [2][3]. Group 1: Importance of National Data Infrastructure - Data is likened to "oil" in the digital economy, with its value extending beyond internal business processes to cross-domain and cross-regional applications [3]. - The development of data infrastructure is essential for breaking through bottlenecks in data circulation and maximizing the value of data elements [4]. - A well-structured national data infrastructure can facilitate efficient data flow, enhance security, and promote innovation, thereby addressing common challenges in the data sector [6]. Group 2: International Competitiveness - Accelerating the construction of new infrastructure is crucial for establishing strategic advantages in global competition, similar to the U.S. initiatives in the 1990s [5]. - There is a need to recognize existing gaps in core technologies and industry ecosystems compared to leading countries, which can be addressed through robust data infrastructure [5]. Group 3: Addressing Practical Development Issues - The article identifies common challenges such as difficulties in data accessibility, cross-domain processing, and large-scale circulation, which can be mitigated through effective data infrastructure [6]. - A reliable and efficient data flow environment can alleviate concerns about data misuse and enhance the overall utility of data across various sectors [6]. Group 4: Strategic Relationships in Infrastructure Development - The construction of national data infrastructure requires a balance between top-level design and practical exploration, ensuring that national needs align with local capabilities [8]. - High-quality supply must dynamically adapt to diverse demand scenarios, ensuring that data provision meets the needs of various industries [10]. - Collaboration between technology development and infrastructure construction is necessary to overcome current limitations in data processing efficiency and operational costs [10]. Group 5: Implementation Strategies - The article outlines a three-step approach for national data infrastructure development, aiming for comprehensive coverage and operational mechanisms by 2029 [13]. - Major projects are highlighted as key drivers for resource integration and demonstration of effective data infrastructure [14]. - Standardization efforts are crucial for ensuring the safety and efficiency of data flow, with a focus on developing comprehensive standards for construction and operation [15]. Group 6: Pilot Exploration and Ecosystem Building - Pilot projects are essential for testing and refining data infrastructure, enabling nationwide collaboration and innovation [16]. - Building a collaborative ecosystem involving government, industry, and enterprises is necessary for sustainable development in data infrastructure [17]. - International cooperation in data infrastructure is encouraged to address global challenges and enhance digital economic collaboration [18].