论文标题
将数据与代码一起提供以提高可重复性的现实指南
A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility
论文作者
论文摘要
数据使科学成为可能。共享数据可提高可见度，并使研究过程透明。这增加了对工作的信任，并允许对结果进行独立复制。但是，来自已发表研究的大量数据通常仅适用于原始作者。尽管共享数据有明显的好处，而科学家提倡共享数据的重要性，但大多数关于共享数据的建议都会讨论其更广泛的收益，而不是共享的实际考虑。本文提供了有关如何与研究一起共享数据的实用，可行的建议。关键信息是共享数据属于连续性，并且输入它应该带有最小的障碍。
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.
