Abstract: Due to the varying sensitivity and importance of multi-source heterogeneous data in environmental health risk assessment, the required security management strategies differ across stages such as data collection, storage, sharing, and release. By analyzing relevant standards and risk assessment cases, this study details the core principles, significance, and methods for data classification and grading in environmental health risk assessment. Data security processing method are proposed for key processes such as data acquisition, storage, and sharing during risk assessment. The research provides new study directions for establishing a security management system that integrates both trustworthiness and usability for multi-source databases in environmental health risk assessment.