The objective of this research was to investigate the institutional and individual factors that influence scientists' data-sharing behaviors across different scientific disciplines. Two theoretical perspectives, institutional theory, and theory of planned behavior, were employed in developing a research model that showed the complementary nature of the institutional and individual factors influencing scientists' data-sharing behaviors. This research used a survey method to examine to what extent those institutional and individual factors influence scientists' data-sharing behaviors in a range of scientific disciplines. A national survey (with 1,317 scientists in 43 disciplines) showed that regulative pressure by journals, normative pressure at a discipline level, and perceived career benefit and scholarly altruism at an individual level had significant positive relationships with data-sharing behaviors, and that perceived effort had a significant negative relationship. Regulative pressure by funding agencies and the availability of data repositories at a discipline level and perceived career risk at an individual level were not found to have any significant relationships with data-sharing behaviors.

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Published in the Journal of the Association for Information Science and Technology, v. 67, issue 4, p. 776–799.

© 2015 ASIS&T

This is the accepted version of the following article: Kim, Y., & Stanton, J. M. (2016). Institutional and individual factors affecting scientists' data-sharing behaviors: A multilevel analysis. Journal of the Association for Information Science and Technology, 67: 776–799, which has been published in final form at http://dx.doi.org/10.1002/asi.23424. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

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