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http://dx.doi.org/10.5351/CKSS.2010.17.5.745

A Methodological Framework for Assessing the Reliability of Computer-Processed Data  

Cha, Kyung-Yup (Audit and Inspection Research Institute, The Board of Audit and Inspection of Korea)
Sim, Kwang-Ho (School of Public Administration, Korea University)
Publication Information
Communications for Statistical Applications and Methods / v.17, no.5, 2010 , pp. 745-753 More about this Journal
Abstract
Compared to the U.S. Government Accountability Office(GAO) and the U.K. National Audit Office(NAO), the Board of Audit and Inspection of Korea(BAI) has not laid a rather solid system for effective assessment and judgment on the reliability of computer-processed data used as audit evidence in its public auditing activities. Accordingly, based on the experiences of GAO and NAO, this study suggests criteria and methods as the key elements of the methodological framework for assessing the reliability of information system data. Then, the usefulness and effectiveness of the criteria and techniques for assessing data reliability were tested and proved by applying to the analysis of allotment for mandatory disabled employment data that have been computer-processed and managed by the Korea Employment Agency for the Disabled(KEAD).
Keywords
Data reliability; allotment for mandatory disabled employment; profiling; public audit;
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  • Reference
1 심광호(2008). 한국의공공감사론정립을위한소고, <정부학연구>, 14, 103–137.
2 정재호, 김형준,손원익(2004). <환경.건설.교통관련부담금의선진외국사례연구>, 한국조세연구원.
3 차경엽(2010). <감사대상기관전산데이터의신뢰성점검기법>, 감사연구원.
4 Ballou, D. P. and Pazer, H. L. (1985). Modeling data and process quality in multi-input, multi-output information systems, Management Science, 31, 150–162.   DOI   ScienceOn
5 Batini, C. and Scannapieco, M. (2006). Data Quality Concepts, Methodologies and Techniques, Springer, New York.
6 GAO (2009). Assessing the Reliability of Computer Processed Data.
7 NAO (2004). Better Practice Guide: Better Practice in the Annual Performance Reporting.
8 Orr, K. (1998). Data quality and systems theory, Communications of the ACM, 41, 66–71.