Efficient metadata management with the AMI ecosystem

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.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701224/pdf
Primary Topic
Research Data Management Practices
Type
article
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article

Efficient metadata management with the AMI ecosystem

J. Odier, F Lambert
Springer Link (Chiba Institute of Technology)
Research Data Management Practices
article

Efficient metadata management with the AMI ecosystem

J. Odier, F Lambert
article en

Abstract

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.

Springer Link (Chiba Institute of Technology)
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Research Data Management Practices
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