| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01068 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/epjconf/202533701068 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701068
Advancing Large-Scale Scientific Collaborations with Rucio
1 CERN, IT Department, 1 Esplanade de Particules, Geneva, Switzerland
2 CERN, EP Department, 1 Esplanade de Particules, Geneva, Switzerland
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Published online: 7 October 2025
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
© The Authors, published by EDP Sciences, 2025
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