Skip to main content
SpringerLink
Log in

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

  • Conference paper
Book cover Advanced Communication and Networking (ACN 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 199))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  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. IBM, IBM WebSphere Information Analyzer User Guide (August 7, 2007)

    Google Scholar 

  3. National Information Society Agency. A guide of technology evaluation standards for guarantee of interoperability (December 2006)

    Google Scholar 

  4. Act of E-Government in Korea (May 17, 2010)

    Google Scholar 

  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. 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. ISO/IEC IS 11179, Information technology specification and standardization of data elements (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of NTIS (National Science & Technology Information Service), KISTI (Korea Institute of Science and Technology Information), Daejeon, Korea

    Youn-Gyou Kook, Joon Lee, Min-Woo Park, Ki-Seok Choi & Jae-Soo Kim

  2. Dept. of Quality & Standardization, KDB (Korea Database Agency), Seoul, Korea

    Soung-Soo Shin

Authors
  1. Youn-Gyou Kook
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Joon Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Min-Woo Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ki-Seok Choi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jae-Soo Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Soung-Soo Shin
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Hannam University, 133 Ojeong-dong, Daeduk-gu, 306-791, Daejeon, South Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Hannam University, 133 Ojeong-dong, Daeduk-gu, 306-791, Daejeon, Korea

    Rosslin John Robles

  4. Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Maricel Balitanas

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kook, YG., Lee, J., Park, MW., Choi, KS., Kim, JS., Shin, SS. (2011). Data Quality Management Based on Data Profiling in E-Government Environments. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Advanced Communication and Networking. ACN 2011. Communications in Computer and Information Science, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23312-8_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23312-8_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23311-1

  • Online ISBN: 978-3-642-23312-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation