“十五五”加强高水平数据科技创新系列解读三 加强数据科技关键技术研发 支撑我国数据事业可持续发展
Ren Min Wang·2026-01-05 17:03

Core Viewpoint - Data technology is identified as a core support for releasing the value of data elements and driving new productive forces, with a systematic layout and collaborative advancement marking a new phase in China's data technology development [1][2]. Group 1: Definition and Characteristics of Data Technology - Data technology is defined as a systematic construction of data science, technology, and engineering aimed at maximizing the value of data as a new production factor [1][2]. - The unique characteristics of data technology include its goal-oriented approach to integrate data into socio-economic development, a comprehensive technical system covering data supply, circulation, utilization, and security, and the need for a reconstruction of existing big data technology systems to meet market demands [2][3]. Group 2: Technical Logic and Implementation - Data technology is rooted in foundational information technologies such as big data, artificial intelligence, and information security, with most capabilities deriving from these areas [3][5]. - The process of realizing data value involves ensuring data is effectively supplied, flows freely, is utilized efficiently, and is secured throughout its lifecycle, necessitating advanced data management and governance technologies [4][6]. Group 3: Development Goals and Strategies - The implementation plan sets ambitious goals for key technologies in data supply, circulation, utilization, and security to achieve breakthroughs by 2027 and reach international leading levels by 2030 [6][8]. - Strategies include enhancing foundational research, focusing on key technological breakthroughs, and promoting the application of data technologies through practical scenarios to support high-quality economic development [7][8].