Keiko Kurata
Biographic Data
| ID | 2389100 |
|---|---|
| NAME | Keiko Kurata |
| GIVEN NAMES | Keiko |
| FAMILY NAME | Kurata |
| SIGNATURE | KURATA K |
| AFFILIATIONS | Keio University |
| ORCID | 0000-0002-8486-2438 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
Knowledge structure transition in library and information science: Topic modeling and visualization
The purpose of this research is to identify topics in library and information science (LIS) using latent Dirichlet allocation (LDA) and to visualize the knowledge structure of the field as consisting of specific topics and its transition from 2000–2002 to 2015–2017. The full text of 1648 research articles from five peer-reviewed representative LIS journals in these two periods was analyzed by using LDA. A total of 30 topics in each period were la…
Identifying the Complex Position of Research Data and Data Sharing Among Researchers in Natural Science
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…
Identifying the Complex Position of Research Data and Data Sharing Among Researchers in Natural Science
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…
Identifying the Complex Position of Research Data and Data Sharing Among Researchers in Natural Science
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…
Knowledge structure transition in library and information science: Topic modeling and visualization
The purpose of this research is to identify topics in library and information science (LIS) using latent Dirichlet allocation (LDA) and to visualize the knowledge structure of the field as consisting of specific topics and its transition from 2000–2002 to 2015–2017. The full text of 1648 research articles from five peer-reviewed representative LIS journals in these two periods was analyzed by using LDA. A total of 30 topics in each period were la…
Computer Science (2 works) · Data science (2 works) · World Wide Web (2 works) · Advanced Text Analysis Techniques (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Computational and Text Analysis Methods (1 works) · Data Quality and Management (1 works) · Data sharing (1 works) · Data type (1 works)