| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01224 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701224 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701224
Efficient metadata management with the AMI ecosystem
Laboratoire de Physique Subatomique et de Cosmologie (LPSC) de Grenoble
* e-mail: ami@lpsc.in2p3.fr
Published online: 7 October 2025
The ATLAS Metadata Interface (AMI) is a comprehensive ecosystem designed for metadata aggregation, transformation, and cataloging. With over 25 years of feedback in the LHC context, it is particularly well-suited for scientific experiments that generate large volumes of data.
This paper explains, in a general manner, why managing metadata is essential regardless of the experiment’s scale. It then presents the different AMI ecosystem’s components and their main functionalities, particularly the Web interfaces for searching data based on metadata criteria. Finally, it discusses the deployment of a functional demo, its subsequent scaling up, and how to integrate it into a data production system.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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