Identifying the Complex Position of Research Data and Data Sharing Among Researchers in Natural Science
Bibliographic Data
| ID | 5016980 |
|---|---|
| Authors | Keiko Kurata (0000-0002-8486-2438, Keio University, corresponding author), Mamiko Matsubayashi (0000-0002-4013-210X, University of Tsukuba), Shinji Mine (0000-0002-5322-4644, Mie University) |
| Year | 2017 |
| Volume | 7 |
| Issue | 3 |
| Pages | 215824401771730 |
| Publication date | 2017-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2158244017717301 |
| OpenAlex | W2733066412 |
| Language | EN |
| Citations received | 3 |
| References cited | 28 |
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
Data science · Data sharing · Data type · Open data · Scripting language · World Wide Web · Computer Science · Data Quality and Management · Research Data Management Practices · Scientific Computing and Data Management
Applied Thematic Analysis
Big Data, Little Data, No Data
Data Sharing by Scientists
The conundrum of sharing research data
Exploring the determinants of scientific data sharing
Emerging Implications of Open and Linked Data for Knowledge Sharing in Development
Data Access, Ownership, and Control
The Sociology of Scientific Knowledge
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2020 - 2024 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |