Improving End-User Database Development Quality: A 5C Data Modeling Method

Hsiang-Jui Kung, Hui-Lien Tung, Adrian Gardiner

Research output: Contribution to journalArticlepeer-review

Abstract

The growth of end-user computing has been driven by advances in both personal computer hardware and software technology and their ever-decreasing pricing. Most casual end-users shy away from database design due to its complexity. However, more sophisticated end-users try to take advantage of complex PC-based database management system products to develop their own database, but frequently experience difficulties in producing quality databases because they do not possess sound data modeling training/skills. To address this problem, the authors propose a simple and straightforward normalization algorithm, the 5C data modeling method. The method focuses on easy-to-follow steps and eliminates references to technical terminology that may confuse the user-developer. The experiment results show that users can apply these techniques to build better databases without understanding traditional textbook terms such as first, second and third normal forms, and referential integrity.

Original languageAmerican English
JournalIssues in Information Systems
Volume9
StatePublished - Jan 1 2008

Keywords

  • 5C
  • Data modeling method
  • Database development
  • End-user
  • Improving
  • Quality

DC Disciplines

  • Business Administration, Management, and Operations
  • Management Information Systems

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