Data sharing by researchers is a centerpiece of Open Science principles and scientific progress. For a sample of 6019 researchers, we analyze the extent/frequency of their data sharing. Specifically, the relationship with the following four variables: how much they value data citations, the extent to which their data-sharing activities are formally recognized, their perceptions of whether sufficient credit is awarded for data sharing, and the reported extent to which data citations motivate their data sharing. In addition, we analyze the extent to which researchers have reused openly accessible data, as well as how data sharing varies by professional age-cohort, and its relationship to the value they place on data citations. Furthermore, we consider most of the explanatory variables simultaneously by estimating a multiple linear regression that predicts the extent/frequency of their data sharing. We use the dataset of the State of Open Data Survey 2019 by Springer Nature and Digital Science. Results do allow us to conclude that a desire for recognition/credit is a major incentive for data sharing. Thus, the possibility of receiving data citations is highly valued when sharing data, especially among younger researchers, irrespective of the frequency with which it is practiced. Finally, the practice of data sharing was found to be more prevalent at late research career stages, despite this being when citations are less valued and have a lower motivational impact. This could be due to the fact that later-career researchers may benefit less from keeping their data private.
翻译:研究人员共享数据是开放科学原则和科学进步的核心。 对于6019名研究人员的抽样,我们分析了数据共享的范围/频率。具体地说,我们分析了与以下四个变量的关系:他们重视数据引用的程度、其数据共享活动得到正式承认的程度、他们对数据共享是否获得足够信用的看法、以及数据引用在多大程度上激发了数据共享的报告。此外,我们分析了研究人员在多大程度上重新利用了公开可获取的数据,以及数据共享如何因专业年龄差异而异,以及数据共享与数据引用价值的关系。此外,我们同时考虑大多数解释变量,方法是估计一个多线性回归,预测数据共享的程度/频率。我们使用Springer自然和数字科学2019年公开数据调查状态的数据集。结果使我们可以得出结论,承认/信用的愿望是数据共享的一个主要激励因素。因此,在共享数据时,特别是年轻研究人员之间,特别是与其在数据引用中采用的频率相比,获得数据引用的可能性是很高的。最后,数据共享的动力可能较低,尽管在晚期研究阶段,但随着晚期研究,数据共享的做法可能更低一些。