Abstract: 【Purpose/significance】Quantitative analysis of public data governance policy texts issued by provincial governments in China is of great significance for improving the primary system and governance system of public data governance.【Method/process】 Taking the public data governance policies enacted at the provincial level in China as the research object, the article adopted the con⁃ tent analysis method and the statistical analysis method to construct a three-dimensional analysis framework of "policy tools—policy objectives—policy effectiveness," and conducted a multi-dimensional analysis of the public data governance policy system at the pro⁃ vincial level in China.【Result/conclusion】The study showed that: ① The uneven distribution of public data governance policies at the provincial level in China and the overall effectiveness of policy practices need to be strengthened. ② China's provincial-level pub⁃ lic data governance policies had started to form a system, but the use of environment-based policy tools was too concentrated, and sup⁃ ply- and demand-based policy tools were less. ③ Policy objectives were primarily focused on the level of data sharing and applica⁃ tion, and attention to the objectives of data resource openness and data access control needs to be improved and refined. ④ There was a relative lack of laws and regulations with strong policy effects, and there was a phenomenon that the policy-making organization was too single and the policy objectives were not balanced enough. In this regard, China's provincial public data governance policies should be optimized in terms of reducing geographical policy differences, improving the structure of policy tools, strengthening the function of policy objectives, and optimizing the design of policy effectiveness.【Innovation/limitation】The article obtains the optimiza⁃ tion path of public data governance policies by unidimensional and multidimensional cross-analysis of provincial public data gover⁃ nance policy texts in China. The next step will be to expand the policy samples and compare and analyze the policy differences among different provinces.