Purpose/Significance To construct a quality evaluation indicator framework for medical scientific data, providing a reference for enhancing high-quality medical scientific data construction and refining medical standardization systems. Method/Process A systematic literature review is conducted to synthesize quality evaluation dimensions and generic indicators for scientific data. The framework is then constructed by integrating characteristics specific to medical scientific data. Result/Conclusion This framework consists of 5 dimensions and 13 indicators, introduces the theory of scientific data lifecycle as a criterion for dividing dimensions, and explores the inclusion of ethical review and anonymization indicators, which is more in line with the practical needs of medical scientific data high-quality construction.