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ESS-DIVE
The U.S. Department of Energy’s (DOE) Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) is a data repository for Earth and environmental science data. ESS-DIVE store…
Ameriflux
AmeriFlux is a network of PI-managed sites measuring ecosystem CO2, water, and energy fluxes in North, Central and South America. AmeriFlux observations have been instrumental in defining the relation…
Science Search
A team of researchers from the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and UC Berkeley are developing innovative machine learning tools to pull contextual informati…
Jupyter
Project Jupyter is an open, international collaboration that develops tools for interactive computing: a process of human computer interplay for scientific exploration and data analysis. The collabora…
About the Group
The Integrated Data Systems (IDS) group is focused on usability aspects of computational and data analysis systems. We are involved in three primary research and development mission areas a) user-centered design processes that work in scientific environments b) usable scientific workflow tools and data abstractions and c) intuitive interfaces to explore, analyze, process data and run computations on HPC and distributed systems.
Overall, our approach is distinguished by a strong focus on usability and user research, early and often in the software design process. We have learned that designing the best systems can only occur when we have the best understanding of the constraints, needs, and culture of the scientists who will use it. The IDS group works closely with the Integrated Data Frameworks group on research and development of user-centered solutions.
Group Leader: Shreyas Cholia
