Train to Sustain

Sudhir Malik; Kilian Lieret; Peter Elmer; Michel Hernandez Villanueva; Stefan Roiser

doi:10.1051/epjconf/202429505023

Train to Sustain

Sudhir Malik, Kilian Lieret, Peter Elmer, Michel Hernandez Villanueva, Stefan Roiser

Physics

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

The HSF/IRIS-HEP Software Training group provides software training skills to new researchers in High Energy Physics (HEP) and related communities. These skills are essential to produce high-quality and sustainable software needed to do the research. Given the thousands of users in the community, sustainability, though challenging, is the centerpiece of its approach. The training modules are open source and collaborative. Different tools and platforms, like GitHub, enable technical continuity, collaboration and nurture the sense to develop software that is reproducible and reusable. This contribution describes these efforts and its broader impacts.

Original language	English (US)
Article number	05023
Journal	EPJ Web of Conferences
Volume	295
DOIs	https://doi.org/10.1051/epjconf/202429505023
State	Published - May 6 2024
Event	26th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2023 - Norfolk, United States Duration: May 8 2023 → May 12 2023

All Science Journal Classification (ASJC) codes

General Physics and Astronomy

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10.1051/epjconf/202429505023

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title = "Train to Sustain",

abstract = "The HSF/IRIS-HEP Software Training group provides software training skills to new researchers in High Energy Physics (HEP) and related communities. These skills are essential to produce high-quality and sustainable software needed to do the research. Given the thousands of users in the community, sustainability, though challenging, is the centerpiece of its approach. The training modules are open source and collaborative. Different tools and platforms, like GitHub, enable technical continuity, collaboration and nurture the sense to develop software that is reproducible and reusable. This contribution describes these efforts and its broader impacts.",

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AU - Malik, Sudhir

AU - Lieret, Kilian

AU - Elmer, Peter

AU - Villanueva, Michel Hernandez

AU - Roiser, Stefan

N1 - Publisher Copyright: © The Authors, published by EDP Sciences, 2024.

PY - 2024/5/6

Y1 - 2024/5/6

N2 - The HSF/IRIS-HEP Software Training group provides software training skills to new researchers in High Energy Physics (HEP) and related communities. These skills are essential to produce high-quality and sustainable software needed to do the research. Given the thousands of users in the community, sustainability, though challenging, is the centerpiece of its approach. The training modules are open source and collaborative. Different tools and platforms, like GitHub, enable technical continuity, collaboration and nurture the sense to develop software that is reproducible and reusable. This contribution describes these efforts and its broader impacts.

AB - The HSF/IRIS-HEP Software Training group provides software training skills to new researchers in High Energy Physics (HEP) and related communities. These skills are essential to produce high-quality and sustainable software needed to do the research. Given the thousands of users in the community, sustainability, though challenging, is the centerpiece of its approach. The training modules are open source and collaborative. Different tools and platforms, like GitHub, enable technical continuity, collaboration and nurture the sense to develop software that is reproducible and reusable. This contribution describes these efforts and its broader impacts.

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U2 - 10.1051/epjconf/202429505023

DO - 10.1051/epjconf/202429505023

M3 - Conference article

AN - SCOPUS:85212188057

SN - 2101-6275

VL - 295

JO - EPJ Web of Conferences

JF - EPJ Web of Conferences

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T2 - 26th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2023

Y2 - 8 May 2023 through 12 May 2023

ER -

Train to Sustain

Abstract

All Science Journal Classification (ASJC) codes

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