At the 14th Workshop on Workflows in Support of Large-Scale Science (WORKS19), Argonne computer scientist Tom Peterka’s keynote talk will cover six priority research directions that highlight the components and capabilities needed for in situ data management to be successful for a wide variety of applications. In situ analysis tools can enable discoveries from a broad range of data sources — HPC simulations, experiments, scientific instruments and sensor networks — by helping researchers minimize data movement, save storage space and boost resource efficiency, often while simultaneously increasing scientific precision.