Towards quality-oriented data warehouse usage and evolution

Information Systems

Volumn 25, Issue 2, 2000, Pages 89-115

  Vassiliadis, Panos ^a   Bouzeohoub, Mokrane ^b   Quix, Christoph ^c  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSITY OF VERSAILLES   (France)

^c RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Data Quality; Data Warehousing; Evolution; Repositories

Indexed keywords

EID: 0002376467     PISSN: 03064379     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4379(00)00011-9     Document Type: Article

References (31)

1. P.A. Bernstein, T. Bergstraesser, J. Carlson, S. Pal, P. Sanders, and D. Shutt. Microsoft repository version 2 and the open information model. Information Systems, 24(2):78-93 (1999).
2. V.R. Basili, G.Caldiera, and H.D. Rombach. The goal question metric approach. Encyclopedia of Software Engineering - 2 Volume Set, pp 528-532, John Wiley & Sons, Inc., also available at http://www.cs.umd.edu/users/basili/papers.html (1994).
3. D.H. Besterfield, C. Besterfield-Michna, G. Besterfield, and M. Besterfield-Sacre. Total Quality Management. Prentice Hall (1995).
4. M. Bouzeghoub, F. Fabret, and M. Matulovic-Broqué. Modeling the data warehouse refreshment process as a workflow application. In Proc. of the International Workshop on Design and Management of Data Warehouses (DMDW'99), Heidelberg, Germany, also available at http://sunsite.informatik.rwth-aachen.de/DMDW99/ (1999).
5. th Int. Workshop on Database and Expert Systems Applications (DEXA'98), Vienna, Austria, pp. 192-197, IEEE Computer Society Press (1998).
6. K.T. Claypool, C. Natarajan, and E.A. Rundensteiner. Optimizing the Performance of Schema Evolution Sequences. Technical Report WPI-CS-TR-99-06, Worcester Polytechnic Institute, Dept. of Computer Science, (1999).
7. E.B. Dean. Quality Functional Deployment from the Perspective of Competitive Advantage. Available at http://mijuno.larc.nasa.gov/dfc/qfd.html (1997).
8. ISO. ISO 9000 International Standards for Quality Management, Geneva: International Organization for Standardization (1992).
9. M. Jarke, M.A. Jeusfeld, and T. Rose. A software process data model for knowledge engineering in information systems. Information Systems, 15(1):85-116 (1990).
10. nd Intl. Conference Information Quality (IQ-97), Cambridge, Mass., Available at http://www.dbnet.ece.ntua.gr/̃dwq/ (1997).
11. M.A. Jeusfeld, C. Quix, and M. Jarke. Design and analysis of quality information for data warehouses. In Proc. of the 17th International Conference on the Entity Relationship Approach (ER'98), pp. 349-362, Singapore, Springer LNCS (1998).
12. M. Jarke, R. Gallersdörfer, M.A. Jeusfeld, M. Staudt, and S. Eherer. ConceptBase - a deductive objectbase for meta data management. In Journal of Intelligent Information Systems, Special Issue on Advances in Deductive Object-Oriented Databases, 4(2):167-192 (1995).
13. M. Jarke, M.A. Jeusfeld, C. Quix, and P. Vassiliadis. Architecture and quality in data warehouses: an extended repository approach. Information Systems, 24(3):229-253 (1999).
14. A shorter version appeared also in Proc. 10th Conference on Advanced Information Systems Engineering (CAiSE '98), Pisa, Italy, pp. 93-113, Springer-Verlag (1998).
15. S. Ligoudistianos, T. Sellis, D. Theodoratos, and Y. Vassiliou. Heuristic algorithms for designing the global data warehouse with SPJ views. In Proc. Internaitonal Conference on Data Warehousing and Knowledge Discovery, (DaWaK'99), Florence, Italy, pp. 66-105, Springer LNCS 1676, available at http://www.dbnet.ece.ntua.gr/̃dwq/ (1999).
16. Metadata Coalition. Meta Data Interchange Specification, (MDIS Version 1.1). Available at http://www.he.net/̃metadata/standards/ (1997).
17. M. Oivo and V. Basili. Representing software engineering models: the TAME goal-oriented approach. IEEE Transactions on Software Engineering, 18(10):886-898 (1992).
18. K. Orr. Data quality and systems theory. Communications of the ACM, 41(2):66-71 (1998).
19. C. Quix. Repository support for data warehouse evolution. In Proc. of the International Workshop on Design and Management of Data Warehouses (DMDW'99), Heidelberg, Germany, available at http://sunsite.informatik.rwthaachen.de/DMDW99/ (1999).
20. M. Staudt, C. Quix, and M.A. Jeusfeld. View maintenance and change notification for application program views. In Proc. ACM Symposium on Applied Computing, San Antonio, Texas, pp. 197-203, ACM Press (1998).
21. G.K. Tayi, and D.P. Ballou. Examining data quality. In Communications of the ACM, 41(2):54-57 (1998).
22. D. Theodoratos and M. Bouzeghoub. Data currency quality factors in data warehouse design. In Proc. of the International Workshop on Design and Management of Data Warehouses (DMDW'99), Heidelberg, Germany, available at http://www.dbnet.ece.ntua.gr/̃dwq/ (1999).
23. th International Conference on Advanced Information Systems Engineering (CAiSE'99), Heidelberg, Germany, pp. 180-194, Springer LNCS 1626, available at http://www.dbnet.ece.ntua.gr/̃dwq/ (1999).
24. rd International Conference on Very Large Data Bases, August 25-29, 1997, Athens, Greece, pp. 126-135, Morgan Kaufmann (1997).
25. D. Theodoratos, and T. Sellis. Designing data warehouses. Data and Knowledge Engineering (DKE), 31(3):279-301, available at http://www.dbnet.ece.ntua.gr/̃dwq/ (1999).
26. P. Vassiliadis, C. Quix, Y. Vassiliou, and M. Jarke. A model for data warehouse operational processes. To appear in Proc. 12th Conference on Advanced Information Systems Engineering (CAiSE '00), Stockholm, Sweden, Springer LNCS (2000).
27. R.Y. Wang, H.B. Kon, and S.E. Madnick. Data quality requirements analysis and modeling. In Proc. of 9th International Conference on Data Engineering, pp. 670-677, IEEE Computer Society, Vienna, Austria (1993).
28. R.Y. Wang. A product perspective on total data quality management. Communications of the ACM, 41(2):58-65 (1998).
29. R.Y. Wang, V.C. Storey, and C.P. Firth. A framework for analysis of data quality research. IEEE Transactions on Knowledge and Data Engineering, 7(4):623-640 (1995).
30. R.Y. Wang, D. Strong, and L.M. Guarascio. Beyond Accuracy: What Data Quality Means to Data Consumers. Technical Report TDQM-94-10, Total Data Quality Management Research Program, MIT Sloan School of Management, Cambridge, Mass. (1994).
31. Y. Wand and R.Y. Wang. Anchoring data quality dimensions in ontological foundations. Communications of the ACM, 39(11):86-95(1996).