Analysis on open data as a foundation for data-driven research
Bibliographic Data
| ID | 21443391 |
|---|---|
| Authors | Honami Numajiri (National Graduate Institute for Policy Studies, corresponding author), Takayuki Hayashi (0000-0001-7030-1122, National Graduate Institute for Policy Studies) |
| Year | 2024 |
| Volume | 129 |
| Issue | 10 |
| Pages | 6315-6332 |
| Publication date | 2024-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-024-04956-x |
| OpenAlex | W4392357334 |
| Language | EN |
| References cited | 16 |
Open Data, one of the key elements of Open Science, serves as a foundation for “data-driven research” and has been promoted in many countries. However, the current status of the use of publicly available data consisting of Open Data in new research styles and the impact of such use remains unclear. Following a comparative analysis in terms of the coverage with the OpenAIRE Graph, we analyzed the Data Citation Index, a comprehensive collection of research datasets and repositories with information of citation from articles. The results reveal that different countries and disciplines tend to show different trends in Open Data. In recent years, the number of data sets in repositories where researchers publish their data, regardless of the discipline, has increased dramatically, and researchers are publishing more data. Furthermore, there are some disciplines where data citation rates are not high, but the databases used are diverse
Data curation · Data science · Foundation (evidence) · Information retrieval · Open data · Political science · Research Data · World Wide Web · Computer Science · Data Quality and Management · Research Data Management Practices · Scientific Computing and Data Management
| Highly cited | No |
|---|