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| A staff member operates a robot to collect data in a coffee shop scenario at a humanoid robot innovation center in the Wuhan East Lake High-tech Development Zone in Wuhan, central China's Hubei province. (PHOTO: XINHUA) |
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On December 27, 2025, the National Data Administration of China released a policy document for strengthening sci-tech innovation on data. The primary objective of this policy is to enhance the development of data-driven technologies, fortify data resource systems, and unlock the multiplier effect of data elements.
China aims to achieve significant progress in its digital transformation by focusing on high-level technology breakthroughs and fostering a thriving data innovation ecosystem.
It is a clear vision for the next decade, aiming to build a series of supportive data science and technology innovation platforms by 2027. These platforms will foster deep integration of industry, academia, research and application, creating an efficient innovation mechanism for establishing a data-driven industrial innovation system.
Technological breakthroughs will be sought in data supply, circulation, utilization and security. By 2030, China expects its core data technologies to reach advanced international levels, while its data science innovation and industrial ecosystem will see a comprehensive upgrade.
This will provide support for building the data element market system and demonstrate the power of data elements in driving high-quality economic and social development.
Critical technological challenges will be addressed and high-level applications fostered. Research and breakthroughs will be strengthened in key data technologies, incorporating data science and technology research into the national science and technology planning system.
The development of key technologies will be accelerated in areas such as data supply, circulation, utilization and security, and domestic capabilities in critical data infrastructure will be strengthened.
Additionally, efforts will be increased to scale up data science innovation, promoting the efficient conversion of research outcomes into practical applications.
To nurture a robust data science innovation ecosystem, a comprehensive innovation platform system would be established in the data field. The policy encourages the formation of innovation consortia led by national laboratories, enterprises, universities and research institutes. These consortia will take the lead in national data science research tasks and the construction of major innovation platforms, tackling the key challenges in the sector.
The document also highlights the importance of strengthening foundational support for data science innovation. This includes accelerating the development of a national integrated computing power network, and pooling and intelligently scheduling diverse computing resources to support data science research and testing.
Moreover, a robust standards system in key data fields would be developed, ensuring that data infrastructure, service capabilities, and high-quality data sets are aligned with technological advancements and industry promotion.
The National Data Administration will establish a coordination mechanism to coordinate technological breakthroughs and resource allocation. It will also formulate an evaluation system for data sector achievements and regularly assess outstanding outcomes from academia, research and application to incentivize innovation and progress in the field.
This strategic move underscores China's commitment to advancing data-driven innovation not only for its own digital transformation but also to contribute to global digital governance, interoperable data ecosystems, and inclusive technological progress.