Training on Data Analysis Reproducibility via Containerization with Apptainer
Roy Cruz Candelaria, Wouter Deconinck, Aman Desai, Guillermo Fidalgo Rodr\'iguez, Michel Hernandez Villanueva, Kilian Lieret, Valeriia Lukashenko, Sudhir Malik, Marco Mambelli, Tetiana Mazurets, Alexander Moreno Brice\~no, Andres Rios-Tascon, Richa Sharma

TL;DR
This paper introduces training resources for physicists on containerization with Apptainer, emphasizing reproducibility and collaboration in scientific analysis.
Contribution
It provides practical examples and a training module to help physicists adopt containerization technologies in HEP and Nuclear Physics.
Findings
Enhanced reproducibility of physics analyses using containers
Improved collaboration through portable analysis environments
Resource efficiency gains in scientific computing
Abstract
We present the material and resources developed for training physicists on containerization technologies enabled by Apptainer. In the context of analysis preservation using Apptainer's capabilities, we have developed examples that execute common tools in High Energy Physics (HEP) and Nuclear Physics within containers. Training physicists on containerization technologies is of utmost importance in today's research landscape. By embracing these technologies, users can achieve enhanced reproducibility, portability, collaboration, and resource efficiency, assuring the conditions and integrity of the scientific analysis process. This training module,``Introduction to Apptainer/Singularity'', is part of the HEP Software Foundation Training Center, which aims to equip newcomers to the field of High Energy Physics with the necessary software skills and best practices.
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