This is an exciting time in biomedical data science. It is now possible to collect substantial information about individuals and their encounters with health care. Our ultimate goal is to integrate this data, along with data and findings from those engaged in basic science, to identify new opportunities to improve health. Broad data sharing will further our progress towards this goal. However, data sharing poses both cultural and technological challenges. I'll discuss our work to address technical issues, including analysis approaches that lift techniques from the field of software engineering and data sharing approaches that employ deep generative neural networks. I'll also touch on our work to shift cultures, including the research parasite and research symbiont awards (applications for each due Sept 30!).