Core Viewpoint - The recent implementation of the "Implementation Opinions" by the National Data Bureau marks a significant step in China's data technology development, establishing a systematic layout and collaborative advancement for data technology innovation, which is essential for unlocking the value of data as a production factor [1] Group 1: Data Technology Innovation - China is the first country to recognize data as a production factor, representing a major theoretical innovation [1] - The "Implementation Opinions" provide comprehensive support for data technology innovation, including theoretical, technical, engineering, and industrial ecosystem aspects [1] Group 2: Evolution of Data Organization - The evolution of data organization has progressed through three paradigms: the first paradigm centered on relational databases, the second on "lake-house" integration, and the current third paradigm focusing on "data space" as a core [2] - The new paradigm allows data to function as active units with inherent dynamics, enabling cross-domain interactions and value collaboration while ensuring data ownership and security [2] Group 3: AI and Data Technology Integration - Breakthroughs in artificial intelligence, particularly deep learning, necessitate high-quality training data, which is crucial for the advancement of AI technologies [3] - The "Implementation Opinions" emphasize the development of high-quality datasets to support AI model training and inference, leveraging China's rich industrial data across various sectors [3][4] Group 4: Pathways for Technological Innovation - The "Implementation Opinions" outline a complete closed-loop from technological innovation to industrial ecosystem prosperity, aiming to enhance China's data technology innovation system [5] - Key strategies include strengthening foundational research in data technology, promoting application-driven innovation, and establishing a robust mechanism for the transfer and commercialization of data technology achievements [6][7]
“十五五”加强高水平数据科技创新系列解读二 数据要素化时代的数据科技创新
Ren Min Wang·2026-01-04 09:15