English

Ten simple rules for PIs to integrate Research Software Engineering into their research group

Software Engineering 2025-06-26 v1 Computational Engineering, Finance, and Science Computers and Society

Abstract

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.

Keywords

Cite

@article{arxiv.2506.20217,
  title  = {Ten simple rules for PIs to integrate Research Software Engineering into their research group},
  author = {Stuart M. Allen and Neil Chue Hong and Stephan Druskat and Toby Hodges and Daniel S. Katz and Jan Linxweiler and Frank Löffler and Lars Grunske and Heidi Seibold and Jan Philipp Thiele and Samantha Wittke},
  journal= {arXiv preprint arXiv:2506.20217},
  year   = {2025}
}

Comments

10 pages, submitted to PLOS Computational Biology

R2 v1 2026-07-01T03:32:39.959Z