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http://dx.doi.org/10.3743/KOSIM.2020.37.4.181

Quality Diagnosis of Library-Related Open Government Data: Focused on Book Details API of Data for Library  

Yang, Suwan (중앙대학교 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.37, no.4, 2020 , pp. 181-206 More about this Journal
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.
Keywords
open government data; open data; data quality; completeness; accuracy;
Citations & Related Records
Times Cited By KSCI : 17  (Citation Analysis)
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