可重复性 [Reproducibility]

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定义: 可重复性是科学验证的“可重复性谱系”上的最低标准，用于根据原始方法、数据和代码来评估科学结论的价值或准确性。例如，研究者使用原始数据和计算机代码重新生成结果，这一过程通常被称为计算可重复性（Barba, 2018）。即便是可重复的结果，也不能确保其质量、正确性或有效性（Peng, 2011）。在某些领域，这个术语与“可复现性（replicability）”或“重复性（repeatability）”相关联。

相关术语: Computational reproducibility, Replicability, repeatability

参考文献:

  • Barba, L. A. (2018). Terminologies for reproducible research. arXiv Preprint arXiv:1802.03311.
  • Crüwell, S., van Doorn, J., Etz, A., Makel, M. C., Moshontz, H., Niebaum, J. C., Orben, A., Parsons, S., & Schulte-Mecklenbeck, M. (2019). Seven Easy Steps to Open Science: An Annotated Reading List. Zeitschrift Für Psychologie, 227(4), 237–248. https://doi.org/10.1027/2151-2604/a000387
  • Peng, R. D. (2011). Reproducible Research in Computational Science. Science, 334(6060), 1226–1227. https://doi.org/10.1126/science.1213847
  • Stodden, V. C. (2011). Trust your science? Open your data and code.
  • Syed, M. (2019). The Open Science Movement is for all of us. PsyArXiv.

原稿作者: Mahmoud Elsherif

审阅者: Helena Hartmann, Annalise A. LaPlume, Tina B. Lonsdorf, Sam Parsons, Charlotte R. Pennington, Suzanne L. K. Stewart

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

译稿审阅者: Zixi Wang, Liangjie Chen, Ruoting Liu, Shuxian Jin