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http://dx.doi.org/10.9708/jksci.2013.18.9.101

An Empirical Study on Quality Improvement by Data Standardization for Distributed Goods  

Song, Jang-Seop (Dept. of Computer Science, Soongsil University)
Rhew, Sung-Yul (Dept. of Computer Science, Soongsil University)
Abstract
Data quality management is extremely important. In this study, we proposed data standardization for effective quality management of enterprise-owned data about distributed goods and validated its effectiveness by case study. For the standardization of data, we designed data category and data dictionary. Additionally, we categorized data and identified its attributes for data category design, and we developed design process for data dictionary and built the dictionary of word, term, domain and code for data dictionary design. And then we proposed output documents which have to be written for data standardization. Proposed data standardization approach is validated its efficiency by quantitative and qualitative measurement. and as a result the data quality of the data standardization improved 24% and the data quality of the consistency of the data dictionary improved 7%.
Keywords
Goods; Data Quality; Data Standardization; Data Dictionary; Master Data;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 KyungBae Yoon "Standardization Model Development and its Effect Analysis for Effective Available Stock Management Process of Automobile Parts Manufacturing Industry using the ERP System", Journal of The Korea Society of Computer and Information, Vol 16, No.2, pp. 279-288, Feb. 2011   과학기술학회마을   DOI   ScienceOn
2 Yong Man Ko, Tae Sul Seo, SunYong Cho, "A Study on the Developing Standard Classification of the National Knowledge and Information Resources", Journal of the Korean society for library, Vol. 40, No 3, pp. 153, Sep. 2006
3 National Information Society Agency, "A Study on New Digital Contents Identification Code Syntax - UCI", pp.1,17-18, Dec. 2003., http://www.nia.or.kr/
4 Jayoung Yang, Byoungju Choi, "A Data Quality Measuring Tool", Korean Institute of Information Scientists and Engineers, Vol 9, No.3, pp. 278-288, Jun. 2003.   과학기술학회마을
5 Philip Russom, "Master Data Management : Consensus-Driven Data Definitions for Cross-Application Consistency" pp.8-9, Oct. 2006. http://tdwi.org/
6 Sunho Kim, Changsoo Lee, Jehyun Lee, "Process-based e-Catalog Data Quality Management", Society for e-Business Studies, Vol. 14, No. 3, pp.39-57, Aug. 2009.
7 ISO 8000-1 Information Quality (draft), 2008.
8 National Information Society Agency, "Public Information Quality Management Manual", pp. 61,62,63,65,66, Jan. 2012., http://www.nia.or.kr/
9 Sang-Hyuk Cho "Design and Implementation of a Metadata System for Financial Information Data Modeling", Journal of The Korea Society of Computer and Information, Vol 17, No.1, pp. 81-85, Jan. 2012.   과학기술학회마을   DOI   ScienceOn
10 Kim Sunho, Lee Changsoo "A Master Data Quality Management Framework", Entrue Journal of Information Technology, Vol. 9, No.2, pp.109-121, Jul. 2010.