Abstract: 【Purpose/significance】As a new type of production factor in the era of digital economy, the development of data is insepa⁃ rable from the support of an effective policy system. Studying the optimization of China's provincial data factor development policies is of great significance for improving and perfecting China's overall strategic planning for the development of data factors and promoting the coordinated development of provincial policies and the integration of the national data factor market【. Method /process】Taking the policy texts of 31 provinces in China on promoting the development of data elements as the data source, the PMC index model of data element development policy is constructed through text mining and visual analysis. According to the division of seven administrative regions in China, 14 policy texts are randomly selected for empirical research.【Result/conclusion】The policy text centered on data el⁃ ements focuses on the core directions of service, construction, management, development and application, and the 14 policies in the empirical analysis are divided into three levels: perfect, excellent and good. Overall, the quality performance of China's policy texts on the development of data elements is relatively reasonable, but from the perspective of administrative division or individual policy texts, there is still room for improvement in some regions and provinces.【Innovation/limitation】Systematic quantification and evaluation of China's provincial data factor development policy. In the future, we should focus on standardizing the evaluation variable standards and realize the dynamic update of policy texts.