On Nov. 3 at an NDRC briefing, Luan Jie, director of policy and planning at the National Data Administration, said the agency will study a policy establishing a responsibility system for development and use of public data resources and will explore an authorized-operation revenue-sharing mechanism for public data. The administration will deepen a state-owned enterprise data-efficiency improvement campaign, emphasize the role of the state-backed National Data Group in public data development and

On Nov. 3 at an NDRC briefing, Luan Jie, director of policy and planning at the National Data Administration, said the agency will study a policy establishing a responsibility system for development and use of public data resources and will explore an authorized-operation revenue-sharing mechanism for public data. The administration will deepen a state-owned enterprise data-efficiency improvement campaign, emphasize the role of the state-backed National Data Group in public data development and cultivation of innovative data firms, and accelerate construction of high-quality datasets via six targeted actions—capacity expansion, dataset labeling, quality and efficiency upgrades, application enablement, management and services, and value realization. It will also deepen data-labeling pilots, build an industry labeling expert network and set up cross-region collaboration mechanisms to support AI development.