Purpose/Significance To build a pathogen drug resistance surveillance support platform based on multi-source data fusion, and to solve the problems of standardized collection, reliable sharing and intelligent analysis of multi-source data. Method/Process A standardized data collection framework is constructed based on the minimum data set, and a trusted data exchange network is built in combination with blockchain technology to achieve the dynamic integration of multi-source heterogeneous data. A closed-loop architecture of “data aggregation-intelligent analysis-risk early warning-feedback collection” is designed. Result/Conclusion The platform has integrated 18 000 strains of bacterial data from 12 institutions, forming 10 research reports, prevention and control plans, prevention and control technical guidelines, supporting the analysis of the distribution characteristics and transmission patterns of pathogen resistance. Moreover, the platform has for the first time achieved reliable integration of drug resistance data from multi-source such as healthcare, the environment, and animal husbandry, providing a full-chain monitoring solution for blocking the spread of drug-resistant bacteria.