Significance To put forward strategies for the open sharing of biomedical scientific data and provide theoretical support for the sustainable development of scientific data in China. Method/Process The paper adopts the multiple-case study method to analyze open sharing practices of four international typical biomedical scientific data platforms, including UK Biobank, National Center for Biotechnology Information (NCBI), Global Initiative on Sharing All Influenza Data (GISAID) and Cortellis Drug Discovery Intelligence (CDDI). Result/Conclusion Suggestions are proposed based on three processes of before, during and after data sharing. In the construction of data resources, the division of data rights and rights subjects should be determined. The open use of data should be differentiated according to data attributes. In terms of data ecology construction, mechanisms and measures to promote data value-added should be formulated.