ATLAS is an open-source, web-based tool that enables researchers to conduct scientific analyses on standardized observational health data. Our June community calls focused on both educating users about ATLAS and shaping its future roadmap. Watch the videos below to learn more—and be sure to complete the surveys to help guide the next phase of ATLAS development.

ATLAS workgroup lead Christopher Knoll guided the community through the month, while tool collaborators Peter Hoffmann, Alexey Manoylenko, Richard Boyce and Konstantin Iaroshovets provided demos on various aspects of ATLAS, including data sources and vocabularies, concept sets and cohorts, and characterization, incidence and treatment pathways.

One of the most widely used research tools in the community, the ATLAS team is now considering future versions and is seeking global input. What tools are the most important to you? How often do you use them? This is your opportunity to have your voice heard as we develop the roadmap for future versions of ATLAS!