TY - JOUR
T1 - Identifying the complex position of research data and data sharing among researchers in natural science
AU - Kurata, Keiko
AU - Matsubayashi, Mamiko
AU - Mine, Shinji
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article:: This article was prepared with support from JSPS KAKENHI grant numbers JP23300089 and JP26280121.
Publisher Copyright:
© The Author(s) 2017.
PY - 2017/7
Y1 - 2017/7
N2 - 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.
AB - 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.
KW - Collaboration
KW - Contextuality
KW - Data ambiguity
KW - Data sharing
KW - Data-sharing perspectives
KW - Research data
KW - Research practices
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U2 - 10.1177/2158244017717301
DO - 10.1177/2158244017717301
M3 - Article
AN - SCOPUS:85026834828
VL - 7
JO - SAGE Open
JF - SAGE Open
SN - 2158-2440
IS - 3
ER -