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

Keiko Kurata, Mamiko Matsubayashi, Shinji Mine

Research output: Contribution to journalArticle

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 languageEnglish
JournalSAGE Open
Volume7
Issue number3
DOIs
Publication statusPublished - 2017

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)

Fingerprint Dive into the research topics of 'Identifying the complex position of research data and data sharing among researchers in natural science'. Together they form a unique fingerprint.

  • Cite this