Surgical Data Science aims to improve the quality of interventional healthcare and its value through capture, organization, analysis and modelling of data. The operating room has long been siloed from in-depth review and analysis, but recent advances in computer vision and surgical robotics offer the promise of improved understanding of intraoperative events. However, challenges remain around collecting and annotating intraoperative data and modeling complex physiological phenomena and workflow during surgery. We will explore a few of these issues and discuss the role of multidisciplinary teams in promoting the democratization of surgical knowledge through surgical data science.