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
Journal Central
Quality Diagnosis of Library-Related Open Government Data: Focused on Book Details API of Data for Library
- Journal of the Korean Society for Information Management
- Abbr : JKOSIM
- 2020, 37(4), pp.181~206
- DOI : 10.3743/KOSIM.2020.37.4.181
- Publisher : 한국정보관리학회
- Research Area : Interdisciplinary Studies > Library and Information Science
- Received : November 23, 2020
- Accepted : December 15, 2020
- Published : December 30, 2020
1중앙대학교 문헌정보학과
Accredited
ABSTRACT
With the popularization of open government data, Library-related open government data is also open and utilized to the public. The purpose of this paper is to diagnose the quality of library-related open government data and propose improvement measures to enhance the quality based on the diagnosis result. As a result of diagnosing the completeness of the data, a number of blanks are identified in the bibliographic elements essential for identifying and searching a book. As a result of diagnosing the accuracy of the data, the bibliographic elements that are not compliant with the data schema have been identified. Based on the result of data quality diagnosis, this study suggested improving the data collection procedure, establishing data set schema, providing details on data collection and data processing, and publishing raw data.
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