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Identifying the Complex Position of Research Data and Data Sharing Among Researchers in Natural Science

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  • Keiko Kurata
  • Mamiko Matsubayashi
  • Shinji Mine

Abstract

This article aims to provide an overview of researchers’ practices and perceptions on data use and sharing. Semistructured interviews were conducted with 23 Japanese researchers in the natural sciences to identify their research practices and data use, including data sharing. We divided the interview scripts into meaningful phrases as a unit of analysis. Next, we focused on 406 statements on research data and reanalyzed them based on four aspects: stance on research data, practices and perceptions of data use, range of data sharing, and data type. A cluster analysis identified 14 clusters, which were divided into five groups: open access for data, restricted access for data, data interpretation, data processing and preservation, and data infrastructure. Our results reveal the complexity and diversity of the relationship between data and research practices. That is, the practice of research data sharing is heterogeneous, with no “one size fits all†between and among researchers.

Suggested Citation

  • Keiko Kurata & Mamiko Matsubayashi & Shinji Mine, 2017. "Identifying the Complex Position of Research Data and Data Sharing Among Researchers in Natural Science," SAGE Open, , vol. 7(3), pages 21582440177, July.
    • Handle: RePEc:sae:sagope:v:7:y:2017:i:3:p:2158244017717301
    DOI: 10.1177/2158244017717301
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    References listed on IDEAS

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    Cited by:

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    3. Fatma Sonmez Cakir & Zafer Adiguzel, 2020. "Analysis of Leader Effectiveness in Organization and Knowledge Sharing Behavior on Employees and Organization," SAGE Open, , vol. 10(1), pages 21582440209, March.

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