Data Quality Dimensions for Information Systems Security: A Theoretical Exposition (Invited Paper)

  • Gurvirender Tejay
  • Gurpreet Dhillon
  • Amita Goyal Chin
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 193)


Data is an important asset used for various organizational activities. Poor data quality could have severe implications for information systems security in organizations. In this paper, data is viewed as embodied in the concept of signs. This paper identifies dimensions of data quality by using semiotics as a theoretical basis. We argue that the nature and scope of data quality dimensions changes as we move between different semiotic levels. An understanding of these changes is essential for ensuring information systems security.

Key words

Data quality information quality knowledge quality semiotics information systems security 

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Copyright information

© International Federation for Information Processing 2005

Authors and Affiliations

  • Gurvirender Tejay
    • 1
  • Gurpreet Dhillon
    • 1
  • Amita Goyal Chin
    • 1
  1. 1.Department of Information Systems, School of BusinessVirginia Commonwealth UniversityRichmondUSA

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