Framework for integrating human and animal data in chemical risk assessment

► Regulatory agencies recommend considering all available data in chemical risk assessments. ► We developed a framework for integrating human and animal data into the risk assessment process. ► A systematic rating and ranking method determines which dataset best supports the risk assessment. ► Case studies highlight application of the framework under different data scenarios. ► Application of the framework will improve transparency of the process and reliability of results.