Measuring data quality with weighted metrics

References

• Batini, C., Barone, D., Cabitza, F., & Grega, S. (2011). A data quality methodology for heterogeneous data. International Journal of Database Management Systems, 3(1), 60–79. doi: 10.5121/ijdms.2011.3105
   Google Scholar
• Batini, C., Cappiello, C., Francalanci, C., & Maurino, A. (2009). Methodologies for data quality assessment and improvement. ACM Computing Surveys, 41(3), 1–52. doi: 10.1145/1541880.1541883
   Web of Science ®Google Scholar
• Batini, C., & Scannapieco, M. (2006). Data quality: Concepts, methodologies and techniques. Berlin Heidelberg: Springer Verlag.
   Google Scholar
• Deming, E. (1986). Out of the crisis. Cambridge: MIT Center for Advanced Engineering Study.
   Google Scholar
• Heinrich, B., Klier, M., & Kaiser, M. (2009). A procedure to develop metrics for currency and its application in CRM. Journal of Data and Information Quality, 1(1), 1–28. doi: 10.1145/1515693.1515697
   Google Scholar
• Jeusfeld, M., & Jarke, M. (1998). Design and analysis of qualiys information for data warehouse. Proceedings of the 17th international conference on conceptual modeling.
   Google Scholar
• Król, D., Lasota, T., Siarkowski, M., & Trawiński, B. (2007). Investigation of application specific metrics to data quality assessment. In International conference on business information systems (pp. 438–448). Berlin: Springer.
   Google Scholar
• Lee, Y., Strong, D., Kahn, B., & Wang, R. (2002). AIMQ: A methodology for information quality assessment. Information & Management, 40(2), 133–146. doi: 10.1016/S0378-7206(02)00043-5
   Web of Science ®Google Scholar
• Otto, B., Kai, H. M., & Osterle, H. (2009). Identification of business oriented data quality metrics. Proceedings of the 14th International Conference on Information Quality, Germany, pp. 122–134.
   Google Scholar
• Petkov, P., & Helfert, M. (2013). Developing a data quality methodology in service oriented context using design science approach. Perspectives in Business Informatics Research, 158, 254–266. doi: 10.1007/978-3-642-40823-6_20
   Google Scholar
• Pippino, L., Lee, Y., & Wang, R. (2002). Data quality assessment. Communications of the ACM, 45(4), 211–218. doi: 10.1145/505248.506010
   Google Scholar
• Scannapieco, M., Virgillito, A., Marchetti, M., Mecella, M., & Baldoni, R. (2004). The DaQuinCIS architecture: A platform for exchanging and improving data quality in cooperative information systems. Information Systems, 29(7), 551–582. doi: 10.1016/j.is.2003.12.004
   Web of Science ®Google Scholar
• Talburt, J. R., Kue, E., Wang, R., & Hess, K. (2004). An algebraic approach to quality metrics for customer recognition systems. In Proceedings of 9th international conference on information quality (pp. 234–247). Boston.
   Google Scholar
• Vaziri, R., & Mohsenzadeh, M. (2012a). A questionnaire-based data quality methodology. International Journal of Database Management Systems, 4(2), 55–68. doi: 10.5121/ijdms.2012.4204
   Google Scholar
• Vaziri, R., & Mohsenzadeh, M. (2012b). Towards a practical ‘state reconstruction’ for data quality methodologies: A customized list of dimensions. In Advances in computer science, engineering, & applications (pp. 825–835). Berlin: Springer Berlin Heidelberg.
   Google Scholar
• Wang, R. (1998). A product perspective on total data quality management. Communications of the ACM, 41(2), 58–65. doi: 10.1145/269012.269022
   Web of Science ®Google Scholar
• Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5–33. doi: 10.1080/07421222.1996.11518099
   Google Scholar
• Woodal, P., Borek, A., & Parlikad, A. K. (2013). Data quality assessment: The hybrid approach. Information & Management, 50(7), 369–382. doi: 10.1016/j.im.2013.05.009
   Web of Science ®Google Scholar
• Wu, N. (2006). An information theoretic approach to information quality metric. Proceedings of the 11th International Conference on Information Quality pp. 133–145.
   Google Scholar
• Yang, L. W., Pipino, L., Strong, D. M., & Wang, R. W. (2004). Process-Embedded data integrity. Journal of Database Management, 15(1), 87–103. doi: 10.4018/jdm.2004010104
   Web of Science ®Google Scholar