Scientific Data Management Beyond Traditional Computing Boundaries

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Patrick M. Widener, Laura Biven, Ian T. Foster, Beth Plale, Sarp Oral, Rafael Ferreira da Silva

Published: 2026, Last Modified: 25 Jan 2026Computer 2026EveryoneRevisionsBibTeXCC BY-SA 4.0
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. We analyze how these developments address current limitations while enabling new capabilities for cross-facility collaboration and AI-driven research.