Reproducible Research in Computational Harmonic Analysis
Reproducible Research in Computational Harmonic Analysis
复制标题
DOI：
10.1109/mcse.2009.15
复制
发表时间：
2009-01-01
影响因子：
2.1
通讯作者：
Stodden, Victoria
中科院分区：
文献类型：
--
作者：
Donoho, David L.;Maleki, Arian;Stodden, Victoria
科学计算正在成为科学方法的绝对核心，但非常宽松的做法正在导致可信度危机。可复制的计算研究，其中计算的所有细节-代码和数据-都方便地提供给他人，是对这一危机的必要回应。作者回顾了他们对可重复研究的方法，并描述了它是如何随着时间的推移而演变的，讨论了支持和反对可重复工作的论点。
Scientific computation is emerging as absolutely central to the scientific method, but the prevalence of very relaxed practices is leading to a credibility crisis. Reproducible computational research, in which all details of computations-code and data-are made conveniently available to others, is a necessary response to this crisis. The authors review their approach to reproducible research and describe how it has evolved over time, discussing the arguments for and against working reproducibly.