Institutional, motivational, and resource factors influencing health scientists' data-sharing behaviours

Youngseek Kim, Sujin Kim

Research output: Contribution to journalReview articlepeer-review

14 Scopus citations

Abstract

This study proposes a composite model of data sharing to examine what determines health scientists' behaviours drawing on institutional, motivational, and resource perspectives. The proposed model was developed considering institutional theory and the theory of planned behaviour. In addition, resource utilization measures were also combined into the research model. Using a national researcher pool, the Community of Scientists' Scholar Database, the analysis included a total of 207 survey responses. Partial least-squares structural equation modelling was performed to evaluate the causal relationship among the data sharing study measures. Findings suggest that regulative pressure by journal publishers and the availability of data repositories was found to be significantly related to datasharing behaviour. Three motivational factors-perceived career benefit, perceived career risk, and perceived effort-were also found to have a significant influence on attitude toward data sharing, which has a significant relationship with datasharing behaviour.

Original languageEnglish
Pages (from-to)366-389
Number of pages24
JournalJournal of Scholarly Publishing
Volume46
Issue number4
DOIs
StatePublished - Jul 2015

Bibliographical note

Publisher Copyright:
© 2015 University of Toronto Press.

Keywords

  • Data sharing
  • Health scientists
  • Institutional theory
  • Structural equation modelling
  • Theory of planned behaviour

ASJC Scopus subject areas

  • Education
  • Media Technology

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