A framework for classification of the data and information quality literature and preliminary results (1996-2007)

14th Americas Conference on Information Systems, AMCIS 2008

Volumn 5, Issue , 2008, Pages 3405-3418

  Neely, M Pamela ^a   Cook, Jack ^a  

^a ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Data quality; Information quality; Literature assessment; Management information systems (MIS); Research framework

Indexed keywords

DATA AND INFORMATION; DATA QUALITY; INFORMATION QUALITY; LITERATURE ASSESSMENT; MANAGEMENT DECISIONS; PRODUCT AND SERVICES; QUALITY OF DATA;

DATA REDUCTION; KNOWLEDGE MANAGEMENT;

INFORMATION ANALYSIS;

EID: 84870284732     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (77)

1. Aiken, P.H., Reverse Engineering of Data. IBM Systems Journal, 1998. 37(2): p. 246-259.
2. Audini, B., A. Pearce, and P. Lelliott, Accuracy, completeness and relevance of Department of Health returns on provision of mental health residential accommodation: A data quality audit. Journal of Mental Health, 2000. 9(4): p. 365-370.
3. Ballou, D., et al., Modeling Information Manufacturing Systems to Determine Information Product Quality. Management Science, 1998. 44(4): p. 462-484.
4. Ballou, D.P. and G.K. Tayi, Enhancing data quality in data warehouse environments. Communications of the ACM, 1999. 42(1): p. 73-80.
5. Ballou, D.P. and H.L. Pazer, Modeling Completeness versus Consistency Tradeoffs in Information Decision Contexts. IEEE Transactions on Knowledge & Data Engineering, 2003. 15(1): p. 240-243.
6. Ballou, D.P. and I.N. Chengalur-Smith, Sample-Based Quality Estimation of Query Results in Relational Database Enironments. IEEE Transactions on Knowledge and Data Engineering, 2006. 18(5): p. 639-650.
7. Birman, S., Control the Data, Control the Costs. Quality, 2003. 42(1): p. 50-56.
8. Bricker, J. and A. Maydanchik, Data quality assurance: Plan redesign affords an opportunity to consider an automated approach to cleansing employee records. Compensation & Benefits Management, 1999. 15(4): p. 49-55.
9. Cappiello, C., C. Francalanci, and B. Pernici, Time-Related Factors of Data Quality in Multichannel Information Systems. Journal of Management Information Systems, 2003. 20(3): p. 71-91.
10. Chengalur-Smith, I., D.P. Ballou, and H.L. Pazer, The Impact of Data Quality Information on Decision Making: An Exploratory Analysis. IEEE Transactors on Knowledge and Data Engineering, 1999. 11(6): p. 853-864.
11. Chiang, R.H.L., E.-P. Lim, and V.C. Storey, A Framework for Acquiring Domain Semantics and Knowledge for Database Integration. The DATA BASE for Advances in Information Systems, 2000. 31(2): p. 46-64.
12. Divorski, S. and M. Scheirer, Improving Data Quality for Performance Measures: Results From a GAO Study of Verification and Validation. Evaluation and Program Engineering, 2000. 24: p. 83-94.
13. Embury, S.M., et al., Adapting integrity enforcement techniques for data reconciliation. Information Systems, 2001. 26(8): p. 657-689.
14. English, L., Information quality: Critical ingredient for national security. JOURNAL OF DATABASE MANAGEMENT, 2005. 16(1): p. 18-32.
15. Even, A. and G. Shankaranarayanan, Utility-Driven Assessment of Data Quality. Database for Advances in Information Systems, 2007. 38(2): p. 75-93.
16. Even, A. and G. Shankaranarayanan, Economics-Driven Data Management: An Application to the Design of Tabular Data Sets. IEEE Transactions on Knowledge and Data Engineering, 2007. 19(6): p. 818-831.
17. Fan, W., et al., Discovering and reconciling value conflicts for numerical data integration. Information Systems, 2001. 26(8): p. 635-656.
18. Fisher, C.W. and B.R. Kingma, Criticality of data quality as exemplified in two disasters. Information & Management, 2001. 39(2): p. 109.
19. Fisher, C.W., I. Chengalur-Smith, and D.P. Ballou, The Impact of Experience and Time on the Use of Data Quality Information in Decision Making. Information Systems Research, 2003. 14(2): p. 170-189.
20. Henderson, I. and D. Murray, Prioritising and deploying data quality improvement activity. Journal of Database Marketing & Customer Strategy Management, 2005. 12(2): p. 113-119.
21. Kaplan, D., et al., Assessing Data Quality in Information. Communications of the ACM, 1998. 41(2): p. 72-78.
22. Kelly, V.E., C.P. Thomas, and H. Wang, Managing Data-Based Systems Across Releases Using Historical Data Dictionaries. Bell Labs Technical Journal, 2000. 5(2): p. 121-133.
23. Khalil, O. and M. Elkordy, EIS Information: Use and Quality Determinants. Information Resources Management Journal, 2005. 18(2): p. 68-93.
24. Kim, W., On US homeland security and database technology. JOURNAL OF DATABASE MANAGEMENT, 2005. 16(1): p. 1-17.
25. Klein, B.D., How Do Actuaries Use Data Containing Errors? Models of Error Detection and Error Correction. Information Resources Management Journal, 1997. 10(4): p. 27-36.
26. Klein, B.D., D.L. Goodhue, and G.B. Davis, Can Humans Detect Errors in Data? Impact of Base Rates, Incentives, and Goals. MIS Quarterly, 1997. 21(2): p. 169-194.
27. Klein, B.D., Detection of Data Errors in the Practice of Inventory Management. The Journal of Computer Information Systems, 1999. 40(2): p. 34-40.
28. Klein, B.D. and D.F. Rossin, Data quality in neural network models: Effect of error rate and magnitude of error on predictive accuracy. Omega, 1999. 27(5): p. 569.
29. Klein, B.D., The Detection of Data Errors in Computer Information Systems: Field Interviews with Municipal Bond Analysts. Information Resources Management Journal, 2000. 13(3): p. 23-32.
30. Klein, B.D., User perceptions of data quality: Internet and traditional text sources. The Journal of Computer Information Systems, 2001. 41(4): p. 9-15.
31. Klein, B.D., Internet data quality: Perceptions of graduate and undergraduate business students. Journal of Business and Management, 2002. 8(4): p. 425-432.
32. Lam, M. and R.K.H. Ching, Information Integration in Multidimensional Databases: A Case Study. Information Systems Management, 1998. 15(4): p. 36-45.
33. Lee, T.Y. and Y. Yang, Constraint-based wrapper specification and verification for cooperative information systems. Information Systems, 2004. 29(7): p. 617-636.
34. Lee, Y., et al., AIMQ: a methodology for information quality assessment. Information and Management, 2002. 40(2): p. 133-146.
35. Lee, Y., Crafting Rules: Context-Reflective Data Quality Problem Solving. Journal of Management Information Systems, 2003. 20(3): p. 93-119.
36. Lee, Y.W. and D.M. Strong, Knowing-Why About Data Processes and Data Quality. Journal of Management Information Systems, 2003. 20(3): p. 13-39.
37. Lee, Y.W., et al., Process-Embedded Data Integrity. Journal of Database Management, 2004. 15(1): p. 87-104.
38. Levitin, A. and T. Redman, Quality dimensions of a conceptual view. Information Processing & Management, 1994. 31(1): p. 81-88.
39. Levitin, A.V. and T.C. Redman, Data as a resource: Properties, implications, and prescriptions. MIT Sloan Management Review, 1998. 40(1): p. 89-102.
40. Low, W.L., M.L. Lee, and T.W. Ling, A knowledge-based approach for duplicate elimination in data cleaning. Information Systems, 2001. 26(8): p. 585-606.
41. Madnick, S., R. Wang, and R. Xiang Xian, The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Quality. Journal of Management Information Systems, 2003. 20(3): p. 41-70.
42. Marsh, R., Drowning in dirty data? It's time to sink or swim: A four-stage methodology for total data quality management. Journal of Database Marketing & Customer Strategy Management., 2005. 12(2): p. 105-112.
43. Naumann, F., J.-C. Freytag, and U. Leser, Completeness of integrated information sources. Information Systems, 2004. 29(7): p. 583-615.
44. Nord, G., J. Nord, and H. Xu, An investigation of the impact of organization size on data quality issues. JOURNAL OF DATABASE MANAGEMENT, 2005. 16(3): p. 105-112.
45. Orr, K., Data Quality and Systems Theory. Communications of the ACM, 1998. 41(2): p. 66-71.
46. Parssian, A., S. Sarkar, and V.S. Jacob, Assessing Data Quality for Information Products: Impact of Selection, Projection, and Cartesian Product. Management Science, 2004. 50(7): p. 967-982.
47. Pierce, E.M., ASSESSING DATA QUALITY WITH CONTROL MATRICES. CACM, 2004. 47(2): p. 82-86.
48. Pinto, M., Data representation factors and dimensions from the quality function deployment (QFD) perspective. Management Science, 2006. 32(2): p. 116-130.
49. Pipino, L.L., Y.W. Lee, and R.Y. Wang, Data Quality Assessment. Communications of the ACM, 2002. 45(4): p. 211-218.
50. Price, R. and G. Shanks, A semiotic information quality framework: development and comparative analysis. JOURNAL OF INFORMATION TECHNOLOGY, 2005. 20(2): p. 88-102.
51. Redman, T.C., The Impact of Poor Data Quality on the Typical Enterprise. Communications of the ACM, 1998. 41(2): p. 79-82.
52. Rieh, S., Judgment of Information Quality aqnd Cognitive Authority in the Web. Journal of the American Society for Information Science and Technology, 2002. 53(2): p. 145-161.
53. Scannapieco, M., et al., The DaQuinCIS architecture: a platform for exchanging and improving data quality in cooperative information systems. Information Systems, 2004. 29(7): p. 551-582.
54. Shankaranarayanan, G., M. Ziad, and R.Y. Wang, Managing Data Quality in Dynamic Decision Environments: An Information Product Approach. Journal of Database Management, 2003. 14(4): p. 14-33.
55. Shankaranarayanan, G. and A. Even, MANAGING METADATA IN DATA WAREHOUSES: PITFALLS AND POSSIBILITIES. Communications of the Association for Information Systems (CAIS), 2004. 14(2004): p. 247-274.
56. Shankaranarayanan, G. and A. Even, The Metadata Enigma. Communications of the ACM, 2006. 49(2): p. 88-94.
57. Shankaranarayanan, G. and A. Even, Supporting data quality management in decision-making. Decision Support Systems, 2006. 42: p. 302-317.
58. Strike, K., K.E. Emam, and N. Madhavji, Software Cost Estimation with Incomplete Data. IEEE Transactions on Software Engineering, 2001. 27(10): p. 890-908.
59. Strong, D.M., Y. Lee, and R. Wang, 10 Potholes in the Road to Information Quality. IEEE Computer, 1997. 30(8): p. 38-46.
60. Strong, D.M., Y.W. Lee, and R.L. Wang, Data Quality in Context. Communications of the ACM, 1997. 40(5): p. 103-110.
61. Tee, S., et al., Factors influencing organizations to improve data quality in their information systems. Accounting and Finance, 2007. 47: p. 335-355.
62. Tejadaa, S., C.A. Knoblocka, and S. Mintonb, Learning object identification rules for information integration. Information Systems, 2001. 26(8): p. 607-633.
63. Vassiliadis, P., et al., Arktos: towards the modeling, design, control and execution of ETL processes. Information Systems, 2001. 26(8): p. 537-561.
64. Wallace, W.A., Assessing the quality of data used for benchmarking and decision-making. The Journal of Government Financial Management, 2002. 51(3): p. 16-21.
65. Wand, Y. and R.Y. Wang, Anchoring Data Quality Dimensions in Ontological Foundations. Communciations of the ACM, 1996. 39(11): p. 86-95.
66. Wand, Y., V.C. Storey, and R. Weber, An Ontological Analysis of the Relationship Construct in Cenceptual Modeling. ACM Transactions on Database Systems, 1999. 24(4): p. 494-528.
67. Wang, R., et al., Manage Your Information as a Product. Sloan Management Review, 1998. 39(4): p. 95-105.
68. Wang, R.Y., M. Reddy, and H. Kon, Toward quality data: An attribute-based approach. Decision Support Systems, 1995. 13(3/4): p. 349-372.
69. Wang, R.Y., V.C. Storey, and C.P. Firth, A Framework for Analysis of Data Quality Research. IEEE Transactions on Knowledge and Data Engineering, 1995. 7(4): p. 623-641.
70. Wang, R.Y. and D.M. Strong, Beyond Accuracy: What Data Quality Means to Data Consumers. Journal of Management Information Systems (JMIS), 1996. 12(4): p. 5-34.
71. Wang, R.Y., A product Perspective on Total Data Quality Management. Communications of the ACM, 1998. 41(2): p. 58-65.
72. Winkler, W.E., Methods for evaluating and creating data quality. Information Systems, 2004. 29(7): p. 531-550.
73. Wixom, B.H. and H.J. Watson, An Empirical Investigation of the Factors Affecting Data Warehousing Success. MIS Quarterly, 2001. 25(1): p. 17-38.
74. Xu, H., et al., Data quality issues in implementing an ERP. Industrial Management + Data Systems, 2002. 102(1/2): p. 47-58.
75. Yoon, V., P. Aiken, and T. Guimaraes, Managing Organizational Data Resources: Quality Dimensions. Information Resources Management Journal, 2000. 13(3): p. 5-32.
76. Juran, J.M., Juran's Quality Control Handbook. 4 ed, ed. F.M. Gryna. 1988, New York: Mc-Graw-Hill, Inc.
77. Juran, J.M., Juran on Planning for Quality. 1988, New York: The Free Press.