The audience will be informed about new scientific advances using a large, web-based, sleep data research resource to identify genetic risk factors, elucidate pathobiological mechanisms, and estimate the risk of mortality in overnight physiological recordings. Data-driven scientific presentations will introduce the capabilities of the NHLBI-funded National Sleep Research Resource, the Sleep Data Commons, and opportunities for advance analyses of biological signals and machine learning.