China plans to construct more than 100 trusted data matrixes by 2028
China is set to create over 100 trusted data matrixes by 2028, aiming to develop a comprehensive collection of data matrix solutions and best practices. This initiative is outlined in an action plan published by the National Data Administration on Saturday.
TroibNews 
China is set to create over 100 trusted data matrixes by 2028, aiming to establish a comprehensive framework of data matrix solutions and best practices. This initiative was detailed in an action plan released by the National Data Administration on Saturday.
The Action Plan for the Development of Trusted Data Matrixes marks the first national-level system design for these matrixes, representing a new type of data infrastructure aimed at facilitating the extensive circulation and shared use of data resources. This effort is seen as a crucial component in building a national integrated data market.
In urban areas characterized by heavy data traffic, various stakeholders—including data owners, providers, users, and developers—are involved. According to Wu Hequan, a member of the Chinese Academy of Engineering, data exchange in these scenarios is not merely a matter of direct transmission; it often necessitates preprocessing. Consequently, a trusted data matrix is essential to create a secure environment for data development and application, enhancing the overall process of data exchange.
Liu Mo, director of the Information and Industrialization Integration Research Institute at the China Academy of Information and Communications Technology, highlighted a specific use case involving large equipment manufacturing enterprises. In this context, a trusted data matrix could be collaboratively developed by upstream suppliers and downstream companies, enabling efficient and secure circulation of sensitive information, including design blueprints and operational data. This collaboration would enhance data resource development and utilization, encouraging innovation in application and service.
The action plan outlines the creation of five categories of trusted data matrixes tailored to enterprises, industries, cities, individuals, and cross-border data flows. Breakthroughs in operation, technology, ecosystem, standards, and security pertaining to these matrixes are expected by 2028.
In addition, the action plan emphasizes the promotion of new data technologies and the emergence of data product service providers. It suggests leveraging core technologies to support this growth by integrating large models with trusted data matrixes and advancing the creation of technical tools, hardware, and software. This approach aims to generate new opportunities within the data industry.
To successfully establish these trusted data matrixes, a strong computing hub is necessary for data calculation, along with specialized algorithms for analyzing and integrating diverse data types, Wu noted.
The establishment of trusted data matrixes is anticipated to generate a wide array of application scenarios and circulation demands, thereby driving the growth of companies focused on data processing, hosting, and services, according to Liu. This development is expected to enrich the overall data industry ecosystem.
The National Data Administration also announced plans for international collaboration on trusted data matrixes to enhance connectivity both domestically and internationally.
Mathilde Moreau for TROIB News
The Action Plan for the Development of Trusted Data Matrixes marks the first national-level system design for these matrixes, representing a new type of data infrastructure aimed at facilitating the extensive circulation and shared use of data resources. This effort is seen as a crucial component in building a national integrated data market.
In urban areas characterized by heavy data traffic, various stakeholders—including data owners, providers, users, and developers—are involved. According to Wu Hequan, a member of the Chinese Academy of Engineering, data exchange in these scenarios is not merely a matter of direct transmission; it often necessitates preprocessing. Consequently, a trusted data matrix is essential to create a secure environment for data development and application, enhancing the overall process of data exchange.
Liu Mo, director of the Information and Industrialization Integration Research Institute at the China Academy of Information and Communications Technology, highlighted a specific use case involving large equipment manufacturing enterprises. In this context, a trusted data matrix could be collaboratively developed by upstream suppliers and downstream companies, enabling efficient and secure circulation of sensitive information, including design blueprints and operational data. This collaboration would enhance data resource development and utilization, encouraging innovation in application and service.
The action plan outlines the creation of five categories of trusted data matrixes tailored to enterprises, industries, cities, individuals, and cross-border data flows. Breakthroughs in operation, technology, ecosystem, standards, and security pertaining to these matrixes are expected by 2028.
In addition, the action plan emphasizes the promotion of new data technologies and the emergence of data product service providers. It suggests leveraging core technologies to support this growth by integrating large models with trusted data matrixes and advancing the creation of technical tools, hardware, and software. This approach aims to generate new opportunities within the data industry.
To successfully establish these trusted data matrixes, a strong computing hub is necessary for data calculation, along with specialized algorithms for analyzing and integrating diverse data types, Wu noted.
The establishment of trusted data matrixes is anticipated to generate a wide array of application scenarios and circulation demands, thereby driving the growth of companies focused on data processing, hosting, and services, according to Liu. This development is expected to enrich the overall data industry ecosystem.
The National Data Administration also announced plans for international collaboration on trusted data matrixes to enhance connectivity both domestically and internationally.
Mathilde Moreau for TROIB News
