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A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility
arXiv - CS - Digital Libraries Pub Date : 2020-02-06 , DOI: arxiv-2002.11626
Nicholas J Tierney, Karthik Ram

Data makes science possible. Sharing data improves visibility, and makes the research process transparent. This increases trust in the work, and allows for independent reproduction of results. However, a large proportion of data from published research is often only available to the original authors. Despite the obvious benefits of sharing data, and scientists' advocating for the importance of sharing data, most advice on sharing data discusses its broader benefits, rather than the practical considerations of sharing. This paper provides practical, actionable advice on how to actually share data alongside research. The key message is sharing data falls on a continuum, and entering it should come with minimal barriers.

中文翻译:

使数据与代码一起可用以提高可重复性的现实指南

数据使科学成为可能。共享数据可提高可见性,并使研究过程透明。这增加了对工作的信任,并允许独立复制结果。然而,来自已发表研究的很大一部分数据通常只提供给原始作者。尽管共享数据的好处显而易见,而且科学家们也提倡共享数据的重要性,但大多数关于共享数据的建议都讨论了其更广泛的好处,而不是共享的实际考虑。本文就如何在研究的同时实际共享数据提供了实用的、可操作的建议。关键信息是共享数据是连续的,进入它应该有最小的障碍。
更新日期:2020-02-27
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