Nightingale Open Science is an initiative hosted at the University of Chicago to provide healthcare data and computing platform to any academic or non-profit researcher, educator or student worldwide. Our goal is to democratize healthcare data and computing resources to a vast community of researchers and students, especially to those who do not otherwise have access to these resources. Our secure centralized platform is also used by instructors for graduate-level and short courses on healthcare machine learning. We host multiple deidentified imaging and waveform data sets along with patient demographics and outcomes, and we continue to publish new data sets from partnering health systems worldwide. In this talk, we will provide an overview of our approach to publishing these data sets, the data sets that have been published and in progress, the platform, and how clinician researchers can collaborate with machine learning experts for healthcare machine learning research. We will also describe how universities can accelerate healthcare ML research and teaching by collaborating with Nightingale.