Typology of database quality factors

Software Quality Journal

Volumn 7, Issue 3, 1998, Pages 179-193

  Hoxmeier, John A ^a  

^a Veterinary Dentistry and Oral Surgery   (United States)

Author keywords

Data models; Data quality; Database quality; Software quality

Indexed keywords

COMPUTER SOFTWARE SELECTION AND EVALUATION; DATA STRUCTURES; QUALITY ASSURANCE; SEMANTICS;

BEHAVIORAL FACTORS; CRITICAL ELEMENTS; DATA QUALITY; DATABASE APPLICATIONS; E-BUSINESS APPLICATIONS; MODEL DEVELOPMENT; QUALITY DIMENSION; SOFTWARE QUALITY;

DATABASE SYSTEMS;

EID: 0038503285     PISSN: 09639314     EISSN: 15731367     Source Type: Journal    
DOI: 10.1023/a:1008923120973     Document Type: Article

References (41)

1. L. Arthur. Quantum improvements in software system quality. Communications of the ACM, 40(6), (1997), 47-52.
2. D. Ballou and H. Pazer. Designing information systems to optimize the accuracy timeliness tradeoff. Information Systems Research, 6(1), (1995), 51-72.
3. T. Braithwaite. Information Service Excellence Through TQM, Building Partnerships for Business Process Reengineering and Continuous Improvement. (ASQC Quality Press, 1994).
4. M. Chignell and K. Parsaye. Intelligent Database Tools and Applications. (Wiley, California, 1993).
5. G.A. Churchill. Marketing Research: Methodological Foundations. (Dryden Press, 1991).
6. H. Costin. Total Quality Management. (Dryden, United States, 1994).
7. G. Delen and D. Rijsenbrij. A specification, engineering and measurement of information systems quality. Journal of Systems Software, 17(3), (1992), 205-217.
8. R. Dvir and S. Evans. A TQM Approach to the Improvement of Information Quality. [Online], http://wem.mit.edu/tdqm/papers.html [1997, June], 1996.
9. M. Dyer. The Cleanroom Approach to Quality Software Development. (Wiley, 1992).
10. C. Fox, A. Levitin and T. Redman The notion of data and its quality dimensions. Information Processing and Management, 30(1), (1994), 9-19.
11. J. Herbsleb, D. Zubrow, D. Goldenson, W. Hayes and M. Paulk. Software quality and capability maturity model, Communications of the ACM, 40(6), (1997), 30-40.
12. J. Hoxmeier. A framework for assessing database quality. Proceedings of the Workshop on Behavioral Models and Design Transformations: Issues and Opportunities in Conceptual Modeling, ACM Sixteenth International Conference on Conceptual Modeling, Los Angeles, CA, November, 1997.
13. J. Hoxmeier. Managing the legacy systems reengineering process: lessons learned and prescriptive advice. Proceedings of the Seventh Annual Software Technology Conference, Ogden ALC/TISE, Salt Lake City, April, 1995.
14. J. Hoxmeier and D. Monachi. An assessment of database quality: design it right or the right design? Proceedings of the Association for Information Systems Annual Meeting, Phoenix, AZ, August, 1996.
15. ISO, International Organization for Standardization. Quality-Vocabulary (Draft International Standard 8402). ISO Press, Geneva, Switzerland, 1993.
16. B. Kahn and D. Strong Product and service performance model for information quality, Proceedings of the 1998 Conference on Information Quality, Cambridge, MA, 1998, 102-115.
17. D. Kaplan, R. Krishnan, R. Padman and J. Peters. Assessing data quality in accounting information systems. Communications of the ACM, 41(2), (1998), 72-78.
18. A Levitin and T. Redman. Quality dimensions of a conceptual view. Information Processing and Management, 31(1), (1995).
19. O. Lindland, G. Sindre and A. Solvberg. Understanding quality in conceptual modeling. IEEE Software, Vol. 11, No. 2, March 1994, pp. 42-49.
20. J. Martin. Principles of Database Management. (Prentice-Hall, Inc., New Jersey, 1976).
21. A. Menon, B. Jaworski and A. Kohli. Product quality: impact of interdepartmental interactions. Journal of the Academy of Marketing Science, 25(3), (1997).
22. T. Moriarty. Barriers to data quality. Database Programming and Design, 61, May, 1996.
23. S. Navathe. Conceptual modeling in biomedical science. Proceedings of the ACM Entity Relationship 97 Modeling Preconference Symposium, Los Angeles, CA, 1997.
24. K. Orr. Data quality and systems theory. Communications of the ACM, 41(2), (1998), 66-71.
25. T.C. Redman. Improve data quality for competitive advantage. Sloan Management Review, 36(2), (1995), 99-107.
26. T.C. Redman. The impact of poor data quality on the typical enterprise. Communications of the ACM, 41(2), (1998), 79-82.
27. P. Rolph and P. Bartram. The Information Agenda: Harnessing Relevant Information in a Changing Business Environment. (Management Books 2000, London, 1994), pp. 65-87.
28. C. Sankar and T. Marshall. Database design support: an empirical investigation of perceptions and performance. Journal of Database Management, 4(3), (1993), 4-14.
29. J. Saviano. Are we there yet?. CIO, 87-96, June 1, 1997.
30. C. Schmauch. ISO-9000 for Software Developers. (ASQC Quality Press, 1994).
31. Standish Group. The Chaos Report. [Online], http://www.standishgroup.com/chaos.html [1997, November 7], 1997.
32. V. Storey and R. Wang. Modeling quality requirements in conceptual database design. Total Data Quality Management, Working Paper Series: TDQM-02-94. [Online], http://web.mit.edu/tdqm/ www/wp94.html [1997, July], 1994.
33. D. Strong, Y. Lee and R. Wang. Data quality in context. Communications of the ACM, 40(5), (1997), 103-110.
34. C. Tenopir. Database quality revisited. Library Journal, 10/01/90, pp. 64-67.
35. R. Wang. A product perspective on total data quality management. Communications of the ACM, 41(2), (1998), 58-65.
36. Y. Wand and R. Wang. Anchoring data quality dimensions in ontological foundations. Communications of the ACM, November, 1996.
37. R. Wang, H. Kon and S. Madnick. Data quality requirements analysis and modeling. 9th International Conference on Data Engineering, (1993), pp. 670-677.
38. R. Wang, D. Strong and L. Guarascio. Beyond accuracy: what data quality means to data consumers. Journal of Management Information Systems, 12(4), (1996), 5-34.
39. R. Wang, D. Strong, B. Kahn and Y. Lee. An information quality assessment methodology: extended abstract. Proceedings of the 1999 Conference on Information Quality, Yang Lee and Giri Tayi, eds., Cambridge, MA, 1999, pp. 258-263.
40. R. Wang, V. Storey and C. Firth. A framework for analysis of data quality research. IEEE Transactions on Knowledge and Data Engineering, 7(4), (1995), 349-372.
41. R. Zmud. Concepts, theories and techniques: an empirical investigation of the dimensionability of the concept of information. Decision Design, 9(2), (1978), 187-195.