Managing, Analyzing and Sharing Research Data with Gen3 Data Commons

Craig Barnes; Kyle Burton; Michael S. Fitzsimons; Hara Prasad Juvvala; Brienna Larrick; Christopher Meyer; Pauline Ribeyre; Ao Liu; Clint Malson; Noah Metoki-Shlubsky; Andrii Prokhorenkov; Jawad Qureshi; Radhika Reddy; L. Philip Schumm; Mingfei Shao; Trevar Simmons; Alexander VanTol; Peter Vassilatos; Aarti Venkat; Robert L. Grossman

arXiv · 2508.04944

Managing, Analyzing and Sharing Research Data with Gen3 Data Commons

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Abstract

Gen3 is an open-source data platform for building data commons. A data commons is a cloud-based data platform for managing, analyzing, and sharing data with a research community. Gen3 has been used to build over a dozen data commons that in aggregate contain over 28 PB of data and 64 million FAIR data objects. To set up a Gen3 data commons, you first define a data model. Gen3 then autogenerates 1) a data portal for searching and exploring data in the commons; 2) a data portal for submitting data to the commons; and 3) FAIR APIs for accessing the data programmatically. Gen3 is built over a small number of standards-based software services, which are designed to support current and future Gen3 components so that Gen3 can interoperate with other data platforms and data ecosystems.

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Craig Barnes, Kyle Burton, Michael S. Fitzsimons, Hara Prasad Juvvala, Brienna Larrick, Christopher Meyer, Pauline Ribeyre, Ao Liu, Clint Malson, Noah Metoki-Shlubsky, Andrii Prokhorenkov, Jawad Qureshi, Radhika Reddy, L. Philip Schumm, Mingfei Shao, Trevar Simmons, Alexander VanTol, Peter Vassilatos, Aarti Venkat, Robert L. Grossman. 2025-08-07. Managing, Analyzing and Sharing Research Data with Gen3 Data Commons. https://arxiv.org/abs/2508.04944

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