推荐增强生物医学研究的严谨性和可重复性的建议。
Recommendations to enhance rigor and reproducibility in biomedical research.
机构信息
Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, 1985 Zonal Avenue, Los Angeles, CA 90089, USA.
Department of Computational Medicine & Bioinformatics, Medical School, University of Michigan, 1301 Catherine Street, Ann Arbor, MI 48109, USA.
出版信息
Gigascience. 2020 Jun 1;9(6). doi: 10.1093/gigascience/giaa056.
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.
生物医学研究越来越依赖于计算工具，但学术机构、资助者和出版商对开放数据、开放软件和可重复性的保障机制执行情况各不相同。出版物可能会展示软件，但源代码或文档可用或不可用；这会影响同行评审在评估技术实力和科学贡献方面的作用。学术软件包不完整的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，以提高计算生物学的可重复性、透明度和严谨性——这些正是生命科学课程应该强调的价值观。我们关于提高软件可用性、易用性和存档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。
Zotero 插件