DPdash is a Deep/Digital Phenotyping Dashboard designed to manage and visualize multiple data streams coming in continuously over extended periods of time in individuals.

At its core, DPdash is a web-viewable dashboard that allows users to visualize continuously acquired dynamic data coming in from multiple data streams that can include smartphone-based passive and active data, surveys, actigraphy, MRI, and derived variables. The goal of DPdash is to provide a streamlined visualization of ongoing data collection so that an investigator can determine what data have been acquired, what data are missing, and basic data patterns that are indicative of proper data collection. DPdash is extensible and can read in any data so long as it conforms to a standard DPdash format. DPdash visualizes variables parsed from processed files that have been saved to a file system structured in a DPdash compliant PHOENIX file system format.

DPdash is developed as a collaboration between the Harvard Neuroinformatics Research Group, the Massachusetts General Hospital, the Harvard Chan School of Public Health, and McLean Hospital.