Abstract: 【Purpose/significance】This study aimed to identify the research themes and strategic development directions related to open government data in China and to explore the alignment between open government data research and national development strate⁃ gies.【Method/process】The study employed the BERTopic model to extract themes from literature on open government data published in the CNKI database between 2010 and 2023. Additionally, grounded theory was utilized to summarize strategic development direc⁃ tions from 12 national-level policy documents related to open government data【. Result/conclusion】The research on open government data in China could be categorized into 14 themes. The national strategic development directions were divided into 6 subcategories and 13 initial categories. A comparative analysis revealed a high degree of alignment between open government data research and China's national development strategies, indicating that academic research actively and consistently addressed national policy needs and devel⁃ opment strategies【. Innovation/limitation】This study combines the BERTopic model with the principles of grounded theory to explore the alignment between China's open government data research and national development strategies. However, the topic modeling ap⁃ proach is limited to a single model, and no comparison of results from multiple models has been conducted. Further improvements are needed, including the expansion and refinement of custom word lists to enhance the extraction of topic features. Future work could con⁃ sider using lexical associations to present the structural content of policy documents, which would aid in visually showcasing the direc⁃ tion of national strategic development.