Abstract: 【Purpose/significance】Based on the user perspective, this study aims to explore the quality of information services on provincial-level government data open platforms in China, construct an evaluation system for the quality of information services on provincial-level government data open platforms, and provide theoretical and practical guidance for improving the quality of informa⁃ tion services on government data open platforms in China.【Method/process】Based on the theory of information ecology and referring to previous research results, a quality evaluation system for information services of provincial-level government data open platforms in China is constructed. Through the method of matter element extension analysis, the information service quality of 21 provincial-level government data open platforms in China is measured from four dimensions: information, information people, information technology, and information environment.【Result/conclusion】Research has found that the information service quality of provincial-level govern⁃ ment data open platforms in China is uneven, and most platforms have missing indicators. In addition, platforms with "accessible data browsing" or "elderly mode" have higher information service quality. Therefore, incorporating the needs of special user groups into platform construction has a high effect on improving the quality of platform information services.【Innovation/limitation】The use of matter element extension analysis method comprehensively evaluated the information service quality of 21 provincial-level govern⁃ ment data open platforms in China from the perspective of information ecology theory. However, the research sample only involves provincial-level government data open platforms. In the future, the sample range will be further expanded to use more objective re⁃ search methods to further optimize the evaluation results of information service quality of government data open platforms.