On the China’s Public Data Authorization Operation System

Public data authorization operations have become a strategic lever to unleash the value of data elements and cultivate new productive forces. However, administrative authorities face dual challenges in practice: On one hand, security risks associated with data flow lead to ambiguous liability attribution, making authorities reluctant to authorize due to legal constraints of “who provides, who is responsible”; on the other hand, the lack of business scenario guidance and reasonable compensation mechanisms results in insufficient motivation for data supply, further exacerbating passive attitudes of “unwillingness to authorize”. Meanwhile, authorization models explored across regions each have their limitations- comprehensive authorization tends to foster monopolies, sector-specific authorization creates data silos, and scenario-based authorization increases regulatory costs, urgently requiring institutional innovation to balance efficiency and security. Against this backdrop, deepening research on public data authorization operations carries multiple implications: innovatively applying authorization operation models can ensure data utilization across various scenarios; establishing risk prevention technologies and revenue stratification mechanisms can resolve issues of security concerns and incentive deficiencies; while clarifying operational boundaries and regulatory rules for institutions can maintain a healthy market competition environment.