| Article | |
| Title | Train to Sustain |
| Author(s) | Malik, Sudhir (Puerto Rico U., Mayaguez) ; Lieret, Kilian (Princeton U.) ; Elmer, Peter (Princeton U.) ; Hernandez Villanueva, Michel (DESY) ; Roiser, Stefan (CERN) |
| Publication | 2024 |
| Number of pages | 5 |
| In: | EPJ Web Conf. 295 (2024) 05023 |
| In: | 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.05023 |
| DOI | 10.1051/epjconf/202429505023 |
| Subject category | Computing and Computers |
| 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. |
| Copyright/License | CC-BY-4.0 |
Corresponding record in: Inspire
Δημιουργία εγγραφής 2024-12-12, τελευταία τροποποίηση 2024-12-12