“十五五”加强高水平数据科技创新系列解读四 构建“技术－产业－应用－保障”相互促进的数据科技创新体系

Core Viewpoint - Data technology is essential for unlocking the value of data elements and driving new productive forces, as highlighted by the recent implementation opinions from the National Data Bureau, marking a new phase in the systematic layout and collaborative advancement of data technology in China [1] Group 1: Key Technology Breakthroughs - The core of data technology innovation lies in overcoming the challenges of data circulation and security, which have historically been at odds, particularly affecting the flow of high-value private data [2] - The implementation opinions propose significant measures such as establishing national key laboratories and collaborative innovation centers to facilitate breakthroughs in critical data technologies [2] Group 2: Industry Innovation System - Data enterprises are identified as the carriers of data technology innovation, with a lack of independent industry entities historically hindering progress in the data sector [3] - The implementation opinions emphasize the importance of forming innovation coalitions and supporting private enterprises to enhance their role in data technology breakthroughs, thereby fostering a robust industry innovation system [3] Group 3: Application Innovation Ecosystem - The goal of data technology innovation is to create a cohesive application ecosystem, addressing the fragmented state of data management that has led to inefficiencies and increased costs [4] - The implementation opinions advocate for measures that promote the efficient conversion of data technology innovations into practical applications, thereby facilitating a virtuous cycle of innovation and application [4] Group 4: Foundation for Data Technology - The success of data technology innovation relies on solid foundational support in terms of infrastructure, talent, funding, and standards, which are currently underdeveloped in China [6] - The implementation opinions outline strategies to strengthen these foundational elements, ensuring a conducive environment for data technology innovation and the development of a comprehensive ecosystem [6]