交通运输部：到2030年全面建成行业高质量数据资源体系

Core Viewpoint - The Ministry of Transport has issued the "Implementation Opinions on Accelerating the Development and Utilization of Public Data Resources in Transportation," aiming to enhance the development and utilization of public data resources in the transportation sector by 2030 [1][2]. Group 1: Goals and Objectives - By 2030, the public data resource management and technical system in transportation is expected to mature, with a comprehensive high-quality data resource system established, significantly improving data integration and innovative applications [1]. - Public data is anticipated to become a key driver for high-quality development in the transportation sector [1]. Group 2: Data Resource System - The implementation opinions propose constructing a multi-level public data resource directory system covering various transportation modes, enhancing data collection and governance, and promoting shared use of main data and resource libraries at both provincial and departmental levels [1][2]. - The quality of public data is to be comprehensively improved through these initiatives [1]. Group 3: Data Supply Enhancement - The strategy emphasizes collaborative efforts in sharing, opening, and authorized operation of public data, aiming to deepen government data sharing mechanisms and establish a dynamic list for orderly data opening [2]. - The process for authorized operations and revenue distribution will be standardized to systematically enhance the supply capacity of public data in transportation [2]. Group 4: Data Application Innovation - The focus is on deepening industry collaboration and cross-industry data integration, exploring typical scenarios for multi-scenario applications and multi-entity reuse of public data resources [2]. - The establishment of high-quality data sets and infrastructure for data circulation and utilization is prioritized, along with a mechanism for nurturing data element-type enterprises in the transportation sector [2]. Group 5: Data Security Assurance - The implementation opinions stress the importance of combining institutional and capability building to strengthen the data security assurance system, including classified and graded data management to mitigate various data security risks [2]. Group 6: Funding and Institutional Support - Increased funding support is highlighted, along with the need to improve data management standards and norms in the transportation sector, and to promote the establishment of technology innovation platforms in the data field [2]. - The transportation authorities at all levels are urged to enhance responsibility and collaboration, implementing an evaluation system to improve the quality and effectiveness of public data resource development and utilization [2].