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Factors Influencing STEM Researchers' Data Sharing Behaviors

机译:影响词干研究人员数据共享行为的因素

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In modern research activities, scientific data sharing is essential in terms of data-intensive science and scholarly communication. Scientific communities are making continuous endeavors to promote scientific data sharing. Currently, however, it is not always well-deployed throughout science and engineering disciplines. The objective of this research is to investigate the factors which influence scientists' data sharing behaviors. Two theoretical perspectives, institutional theory and theory of planned behavior, are employed in developing a conceptual model, which shows the complementary nature of the institutional and individual factors influencing scientists' data sharing behaviors. Institutional theory can explain the context in which individual scientists are acting; whereas the theory of planned behavior can explain the underlying motivations behind scientists' data sharing behaviors in an institutional context. This research will use a survey method to investigate the data sharing factors at individual and institutional levels. The findings from this study have the potential to accelerate both scientific collaborations and further enable data-intensive scientific research. This research can provide useful guidelines for designing data sharing repositories, developing relevant policies for data sharing, and facilitating individual scientists' data sharing within different scientific communities.
机译:在现代研究活动中,科学数据共享对于数据密集型科学和学术沟通至关重要。科学社区正在努力促进科学数据共享。然而,目前,在整个科学和工程学科中并不总是很好地部署。本研究的目的是研究影响科学家数据共享行为的因素。制定概念模型的两种理论观点,制度理论和计划行为理论,展示了影响科学家数据共享行为的体制和个人因素的互补性质。制度理论可以解释个人科学家行为的背景;鉴于计划行为理论可以解释在制度背景下的科学家数据共享行为背后的潜在动机。本研究将使用调查方法调查个人和体制水平的数据共享因素。本研究的调查结果有可能加速科学合作,进一步实现数据密集型科学研究。该研究可以提供用于设计数据共享存储库的有用指导方针,制定数据共享的相关政策,并促进不同科学社区内的个人科学家的数据共享。

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