Moving beyond sharing vs. withholding to understand how scientists share data through large-scale, open access databases

  • Authors:

  • Dharma Akmon

  • Affiliations:

  • University of Michigan, Ann Arbor, MI

  • Venue:
  • Proceedings of the 2011 iConference
  • Year:
  • 2011

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Abstract

In this poster, I argue that our knowledge of data sharing in science needs an approach that focuses on the sharing process. While there have been a number of studies on the prevalence of sharing and withholding behavior in science, few address the complexity of sharing behavior by looking at how scientists share data through open databases. A review of literature on communication and exchange in science, the nature and role of data and databases, and studies of data sharing and withholding suggests that we must move beyond simple conceptions of sharing vs. withholding to fully understand sharing behavior.