Abstract: 【Purpose/significance】This study explores the compliance of privacy policies on government data development platforms in China, constructs an evaluation system for privacy policies on government data open platforms, and provides theoretical and practi⁃ cal guidance for the formulation and improvement of privacy policies on government data open platforms in China.【Method/process】, Based on the user perspective, a privacy policy evaluation index system for government data open platforms is constructed. The en⁃ tropy weight grey correlation analysis method is used to measure the user perceived compliance of privacy policies for 15 provincial government data open platforms in China from four dimensions: information processing notification, personal rights protection, policy obligation notification, and information security protection.【Result/conclusion】The study found that clear notification of user informa⁃ tion processing processes, realization of user rights, reminders of privacy policy updates, and corresponding security measures can im⁃ prove user reading perception and evaluation results. However, the overall compliance of privacy policies on government open plat⁃ forms in China is relatively low, and need to improve from multiple dimensions.【Innovation/limitation】The study used the entropy weight grey correlation analysis method to analyze the user perception measurement of privacy policies on government data open plat⁃ forms. However, only 15 provincial platforms were selected as the research objects, and the construction of weight ratings was subjec⁃ tive due to expert experience.