Advancing Large-Scale Scientific Collaborations with Rucio

This article provides an overview of the data deluge observed and projected in the next decade in high-energy physics and related sciences, and how Rucio, a mature and modular scientific data management platform used by various scientific collaborations, is employed to manage these extensive datasets. The paper highlights Rucio’s key features, current deployments, and its role in facilitating scientific innovation across diverse domains

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701068/pdf
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

Advancing Large-Scale Scientific Collaborations with Rucio

Hugo González Labrador, Martin Barisits
Springer Link (Chiba Institute of Technology)
Scientific Computing and Data Management
article

Advancing Large-Scale Scientific Collaborations with Rucio

Hugo González Labrador, Martin Barisits
article en

Abstract

This article provides an overview of the data deluge observed and projected in the next decade in high-energy physics and related sciences, and how Rucio, a mature and modular scientific data management platform used by various scientific collaborations, is employed to manage these extensive datasets. The paper highlights Rucio’s key features, current deployments, and its role in facilitating scientific innovation across diverse domains

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Scientific Computing and Data Management
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Advancing Large-Scale Scientific Collaborations with Rucio — Hugo González Labrador, Martin Barisits · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS