Scientific Data Management Beyond Traditional Computing Boundaries

Patrick Widener; Laura Biven; Ian Foster; Beth Plale; Sarp Oral; Rafael Ferreira da Silva

doi:10.1109/MC.2025.3589134

Scientific Data Management Beyond Traditional Computing Boundaries

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

Research output: Contribution to specialist publication › Article

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.

Original language	English
Pages	43-53
Number of pages	11
Volume	59
No	1
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2025.3589134
State	Published - 2026

Funding

This article has been authored in part by UT-Battelle, LLC, under Contract DE-AC05-00OR22725; by Jefferson Science Associates, LLC under Contract DE-AC05-06OR23177; and by UChicago Argonne, LLC, under Contract DE-AC02-06CH11357—all with the U.S. Department of Energy (DOE). The publisher acknowledges the U.S. government license to provide public access under the DOE Public Access Plan (http://energy.gov/downloads/ doe-public-access-plan). This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, supported by the Office of Science of the U.S. Department of Energy under Contract DE-AC05-00OR22725.

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10.1109/MC.2025.3589134

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title = "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. We analyze how these developments address current limitations while enabling new capabilities for cross-facility collaboration and AI-driven research.",

author = "Patrick Widener and Laura Biven and Ian Foster and Beth Plale and Sarp Oral and \{Ferreira da Silva\}, Rafael",

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AU - Widener, Patrick

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PY - 2026

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Scientific Data Management Beyond Traditional Computing Boundaries

Abstract

Funding

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