Biomedical research depends increasingly on computational tools, but mechanisms ensuring open data, open software, and reproducibility are variably enforced by academic institutions, funders, and publishers. Publications may present software for which source code or documentation are or become unavailable; this compromises the role of peer review in evaluating technical strength and scientific contribution. Incomplete ancillary information for an academic software package may bias or limit subsequent work. We provide 8 recommendations to improve reproducibility, transparency, and rigor in computational biology—precisely the values that should be emphasized in life science curricula. Our recommendations for improving software availability, usability, and archival stability aim to foster a sustainable data science ecosystem in life science research.

中文翻译：

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提高生物医学研究的严谨性和可重复性的建议。

生物医学研究越来越依赖于计算工具，但确保开放数据、开放软件和可重复性的机制由学术机构、资助者和出版商不同程度地执行。出版物可能会提供源代码或文档不可用或变得不可用的软件；这损害了同行评审在评估技术实力和科学贡献方面的作用。学术软件包的不完整辅助信息可能会产生偏差或限制后续工作。我们提供了 8 条建议来提高计算生物学的可重复性、透明度和严谨性，而这正是生命科学课程中应强调的价值观。我们关于提高软件可用性、可用性和档案稳定性的建议旨在促进生命科学研究中可持续的数据科学生态系统。