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

• Published in: SAGE open Vol. 7; no. 3
• Main Authors: Kurata, Keiko, Matsubayashi, Mamiko, Mine, Shinji
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01-07-2017; SAGE Publishing
• Subjects: data-sharing perspectives; contextuality; research data; research practices; collaboration; data ambiguity; data sharing
• ISSN: 2158-2440; 2158-2440
• DOI: 10.1177/2158244017717301

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.