Objective Establish the first comparative medicine big-data platform at home and abroad to provide services for researchers to obtain effective scientific data on laboratory animals and animal models, provide data support for decision makers, and solve the problems of data acquisition and analysis. Methods Formulate metadata and data collection forms, integrate data resources related to laboratory animals and comparative medicine. Integrate large-scale laboratory animals, animal models, phenotypic data, and animal experimental data to build a PHP-based (hypertext preprocessor)comparative medicine big- data platform. Results Based on the research result of comparative medicine at home and abroad, the comparative medicine big-data platform systematically sorts out laboratory animals, animal models and animal experimental data, and forms multi-dimensional cross-temporal comparative analysis result . Taking comparative medicine data as the main content, it provides data on laboratory animals, human diseases, comparative medicine, animal experiments and related products. Conclusions In this study, we established the comparative medicine big-data platform, and realized the unified preservation, the integration and sharing of comparative medicine scientific data resources.