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Data Quality Management Based on Data Profiling in E-Government Environments

  • Youn-Gyou Kook
  • Joon Lee
  • Min-Woo Park
  • Ki-Seok Choi
  • Jae-Soo Kim
  • Soung-Soo Shin
Part of the Communications in Computer and Information Science book series (CCIS, volume 199)

Abstract

Recently, it is important to manage the quality of e-government data for guaranteeing the reliability of e-government to the public and being consistent in interoperating that data among legacy information systems in e-government environments. Data quality management is to try removing an invalid data and manipulating an incomplete or a revisable data on running database. So it is necessary that discovering, analyzing and reviewing that data which caused distrust in e-government. Data profiling is a process of analyzing location, structure, value of data and data profile included metadata for managing the valid data among that systems. In this paper, we present an approach of data profiling among legacy information systems in e-government environments to manage the quality of data and to guarantee the reliability of e-government to the public. So we enumerate some invalid, incomplete and revisable data that is needed to manipulate in proper. The proposed approach will be caused the advanced data quality of e-government and reliability to the public.

Keywords

Data Quality Management Data Profiling Interoperability Information System E-Government 

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References

  1. 1.
    Korea Database Agency. Data Quality Assessment Procedure Manual. Data Quality Management Guide-4 (January 18, 2011), ISBN 978-89-88474-09-9 Google Scholar
  2. 2.
    IBM, IBM WebSphere Information Analyzer User Guide (August 7, 2007) Google Scholar
  3. 3.
    National Information Society Agency. A guide of technology evaluation standards for guarantee of interoperability (December 2006) Google Scholar
  4. 4.
    Act of E-Government in Korea (May 17, 2010) Google Scholar
  5. 5.
    Kook, Y.-G., Lee, J., Kim, J.-S.: e-Government Grid System for Information Interoperability. The Korea Academia-Industrial Cooperation Society, 3660–3667 (December 2009)Google Scholar
  6. 6.
    Kook, Y.-G., Lee, J., Choi, K.-S., Kim, J.-S.: Dynamic Relation Management of Hierarchical Data for Interoperability in Distributed Environments. Communication in Computer and Information Science 74 (June 2010)Google Scholar
  7. 7.
    ISO/IEC IS 11179, Information technology specification and standardization of data elements (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Youn-Gyou Kook
    • 1
  • Joon Lee
    • 1
  • Min-Woo Park
    • 1
  • Ki-Seok Choi
    • 1
  • Jae-Soo Kim
    • 1
  • Soung-Soo Shin
    • 2
  1. 1.Dept. of NTIS (National Science & Technology Information Service)KISTI (Korea Institute of Science and Technology Information)DaejeonKorea
  2. 2.Dept. of Quality & StandardizationKDB (Korea Database Agency)SeoulKorea

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