Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31
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pISSN : 1013-0799 / eISSN : 2586-2073
- https://journal.kci.go.kr/kosim
KJCKorea
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A Study on the Intellectual Structure of Data Science Using Co-Word Analysis
- Journal of the Korean Society for Information Management
- Abbr : JKOSIM
- 2017, 34(4), pp.101~126
- DOI : 10.3743/KOSIM.2017.34.4.101
- Publisher : 한국정보관리학회
- Research Area : Interdisciplinary Studies > Library and Information Science
- Received : November 18, 2017
- Accepted : December 13, 2017
- Published : December 30, 2017
1서울여자대학교
Accredited
ABSTRACT
Data Science is emerging as a closely related field of study to Library and Information Science (LIS), and as an interdisciplinary subject combining LIS, statistics and computer science in an attempt to understand the value of data by applying what LIS has been doing for collecting, storing, organizing, analyzing, and utilizing information. To investigate which subject fields other than LIS, statistics, and computer science are related to Data Science, this study retrieved 667 materials from Web of Science Core Collection, extracted terms representing Web of Science Categories, examined subject fields that are studying Data Science using descriptive analysis, analyzed the intellectual structure of the field by co-word analysis and network analysis, and visualized the results as a Pathfinder network with clustering created with the PNNC clustering algorithm. The result of this study might help to understand the intellectual structure of the Data Science field, and may be helpful to give an idea for developing relatively new curriculum.
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