Identifying the complex position of research data and data sharing among researchers in natural science

Keiko Kurata; Mamiko Matsubayashi; Shinji Mine

doi:10.1177/2158244017717301

Identifying the complex position of research data and data sharing among researchers in natural science

Keiko Kurata, Mamiko Matsubayashi, Shinji Mine

Department of Library and Information Science

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

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.

Original language	English
Journal	SAGE Open
Volume	7
Issue number	3
DOIs	https://doi.org/10.1177/2158244017717301
Publication status	Published - 2017 Jul

Keywords

Collaboration
Contextuality
Data ambiguity
Data sharing
Data-sharing perspectives
Research data
Research practices

ASJC Scopus subject areas

Arts and Humanities(all)
Social Sciences(all)

Access to Document

10.1177/2158244017717301

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title = "Identifying the complex position of research data and data sharing among researchers in natural science",

abstract = "This article aims to provide an overview of researchers{\textquoteright} 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.",

keywords = "Collaboration, Contextuality, Data ambiguity, Data sharing, Data-sharing perspectives, Research data, Research practices",

author = "Keiko Kurata and Mamiko Matsubayashi and Shinji Mine",

note = "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.",

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