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ISSN : 1013-0799

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Vol.37 No.4
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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 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2020, v.37 no.4, pp.181-206
https://doi.org/10.3743/KOSIM.2020.37.4.181
Suwan Yang
Yang, S. (2020). 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, 37(4), 181-206, https://doi.org/10.3743/KOSIM.2020.37.4.181
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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
공공데이터, 개방 데이터, 데이터 품질, 완전성, 정확성, open government data, open data, data quality, completeness, accuracy
Submission Date
2020-11-23
Revised Date
2020-12-03
Accepted Date
2020-12-15

Journal of the Korean Society for Information Management

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