Predictors of Data Sharing and Reuse Behavior in Academic Communities

Jeonghyun Kim, Eric R. Schuler and Anna Pechenina

Chapter 1 in Knowledge Discovery and Data Design Innovation:Proceedings of the International Conference on Knowledge Management (ICKM 2017), 2017, pp 1-25 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Research data sharing is one of the most interesting and challenging issues for researchers in the academic community. To investigate the effect of individual characteristics and organizational contexts on data sharing and reuse behaviors, this study employed a second analysis of the survey data. This study found that older researchers and those who allocate a lower percentage of their worktime to research are likely to share data and show a positive attitude toward data sharing. The study also found that academic researchers are likely to share data if their funding agency requires them to provide a data management plan and if their organization or project provides the necessary funds and processes to support data management.

Keywords: Knowledge Discovery; Big Data; Data Science; Data Analytics; Innovation (search for similar items in EconPapers)
JEL-codes: O30 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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