DOE OSTI · 3014291
Scientific Data Management Beyond Traditional Computing Boundaries
Abstract
Scientific data management is undergoing a fundamental transformation driven by the convergence of artificial intelligence (AI)/machine learning workflows, distributed computing and storage environments, and exponential data growth. Here, we analyze how these developments address current limitations while enabling new capabilities for cross-facility collaboration and AI-driven research.
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Widener, Patrick [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000258820816), Biven, Laura [Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)] (ORCID:0000000257558449), Foster, Ian [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000321295269), Plale, Beth [Indiana Univ., Bloomington, IN (United States)] (ORCID:0000000321648132), Oral, Sarp [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000187457078), Ferreira da Silva, Rafael [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000217200928). 2025-12-31. Scientific Data Management Beyond Traditional Computing Boundaries. https://doi.org/10.1109/mc.2025.3589134
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