Ten simple rules for PIs to integrate Research Software Engineering into their research group
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arXiv
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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915358314594304 |
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| author | Allen, Stuart M. Hong, Neil Chue Druskat, Stephan Hodges, Toby Katz, Daniel S. Linxweiler, Jan Löffler, Frank Grunske, Lars Seibold, Heidi Thiele, Jan Philipp Wittke, Samantha |
| author_facet | Allen, Stuart M. Hong, Neil Chue Druskat, Stephan Hodges, Toby Katz, Daniel S. Linxweiler, Jan Löffler, Frank Grunske, Lars Seibold, Heidi Thiele, Jan Philipp Wittke, Samantha |
| contents | Research Software Engineering (RSEng) is a key success factor in producing high-quality research software, which in turn enables and improves research outcomes. However, as a principal investigator or leader of a research group you may not know what RSEng is, where to get started with it, or how to use it to maximize its benefit for your research. RSEng also often comes with technical complexity, and therefore reduced accessibility to some researchers. The ten simple rules presented in this paper aim to improve the accessibility of RSEng, and provide practical and actionable advice to PIs and leaders for integrating RSEng into their research group. By following these rules, readers can improve the quality, reproducibility, and trustworthiness of their research software, ultimately leading to better, more reproducible and more trustworthy research outcomes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_20217 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Ten simple rules for PIs to integrate Research Software Engineering into their research group Allen, Stuart M. Hong, Neil Chue Druskat, Stephan Hodges, Toby Katz, Daniel S. Linxweiler, Jan Löffler, Frank Grunske, Lars Seibold, Heidi Thiele, Jan Philipp Wittke, Samantha Software Engineering Computational Engineering, Finance, and Science Computers and Society 68-01 K.6.3 Research Software Engineering (RSEng) is a key success factor in producing high-quality research software, which in turn enables and improves research outcomes. However, as a principal investigator or leader of a research group you may not know what RSEng is, where to get started with it, or how to use it to maximize its benefit for your research. RSEng also often comes with technical complexity, and therefore reduced accessibility to some researchers. The ten simple rules presented in this paper aim to improve the accessibility of RSEng, and provide practical and actionable advice to PIs and leaders for integrating RSEng into their research group. By following these rules, readers can improve the quality, reproducibility, and trustworthiness of their research software, ultimately leading to better, more reproducible and more trustworthy research outcomes. |
| title | Ten simple rules for PIs to integrate Research Software Engineering into their research group |
| topic | Software Engineering Computational Engineering, Finance, and Science Computers and Society 68-01 K.6.3 |
| url | https://arxiv.org/abs/2506.20217 |