计算可重复性 [Computational reproducibility]

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定义: 计算可重复性是指使用相同的数据、方法和分析条件，重现与原研究相同的结果（包括表格、图像和定量结果）的能力。代码和数据的可用性，以及对这些材料（例如，注释数据、标明软件版本、共享计算环境等）的准备有助于提升计算可重复性。理想情况下，另一名研究人员（或原研究人员，在未来某时）只需一套文件和说明即可实现计算可重复性。这也可称为分析可重复性（LeBel et al., 2018）。

相关术语: FAIR principles, Replicability, Reproducibility

参考文献:

  • on Reproducibility, C., & in Science et al., R. (2019). Reproducibility and Replicability in Science (p. 25303). National Academies Press. https://doi.org/10.17226/25303
  • Kitzes, J., Turek, D., & Deniz, F. (2017). The practice of reproducible research: Case studies and lessons from the data-intensive sciences. University of California Press.
  • LeBel, E. P., McCarthy, R. J., Earp, B. D., Elson, M., & Vanpaemel, W. (2018). A unified framework to quantify the credibility of scientific findings. Advances in Methods and Practices in Psychological Science, 1(3), 389–402. https://doi.org/10.1177/2515245918787489
  • Nosek, B. A., & Errington, T. M. (2020). What is replication? PLOS Biology, 18(3), e3000691. https://doi.org/10.1371/journal.pbio.3000691
  • Obels, P., Lakens, D., Coles, N. A., Gottfried, J., & Green, S. A. (2020). Analysis of open data and computational reproducibility in registered reports in psychology. Advances in Methods and Practices in Psychological Science, 3(2), 229–237. https://doi.org/10.1177/2515245920917961

原稿作者: Tina Lonsdorf

审阅者: Sarah Ashcroft-Jones, Helena Hartmann, Annalise A. LaPlume, Adam Parker, Charlotte R. Pennington, Eike Mark Rinke

翻译者: AI-driven translation tool "TransFlow" (developed by Jinbiao Yang and COSN OpenTransfer team)

译稿审阅者: Cathy Fang, Liangjie Chen, Ruoting Liu, Shuxian Jin