2020
to top
Wu, N., Tudoreanu, M., Siruvolu, S., Wang, R., Talburt, J. (2020, April). Analysis of Contractor Data in Federal Acquisition Databases. Monterrey, CA: 17th Annual Acquisition Research Symposium.
Wang, R.Y., and Talburt, J.R., Yang, Y. (2020). A Framework of Analysis for Data Washing Machines. Technical Paper.
2019
to top
2018
to top
Tudoreanu, M., Franklin, K., Rego, A., Wu, N., Wang, R. (2018, March). Searching Hidden Links: Inferring Undisclosed Subcontractors From Public Contract Records and Employment Data (Vol 2, pp 491-499). Monterrey, CA: 15th Annual Acquisition Research Symposium.
2017
to top
Yang, M., Milanova, M. G., Tudoreanu, M. E., Talburt, J. R., Wu, N., Williams, P. H., He, Q., Compadre, C. M., Wang, R., Reiners, D. P., Cruz Neira, C. (2017). American Council on Science and Education: Innovative Research-Education Integration Award. NSF National Science Foundation National Research Training Proposal. American Council on Science and Education.
Yang, M., Zhao, W., Arabnia, H., Wang, R., Tudoreanu, M. E., Compadre, C. M., Milanova, M. G., He, Q., Talburt, J. R., Williams, P. H., Wu, N., Reiners, D. P., Cruz Neira, C., Innovative Research-Education Award, “Special Task Force Keynote: Developing Novel Computational Intelligence Approaches for Innovative Systematic Pedagogy in Integrated Research and Education : INSPIRE (NSF-National Research Training Proposal Special Task Force Keynote Presentation,” American Council on Science and Education. (December 2017).
Yang, M., Yu, S., Cruz Neira, C., Yang, W., Tudoreanu, M. E., Li, D., Zhang, Y., He, Q., Guan, R., Wang, R., & Zhao, W. (2017, December). Secure privacy preserving across personal health data and single cell genomics research INSPIRE academic pedagogy – merging big data multiplatform with deep learning. Las Vegas, NV: IEEE
Yang, M., Milanova, M. G., Wang, R., Talburt, J. R., Wu, N., Tudoreanu, M. E., Williams, P. H., Compadre, C. M., He, Q., Reiners, D. P., Cruz Neira, C., Based on NSF-National Research Training Proposal, “Innovative Research-Education Integration Award,” American Council on Science and Education. (July 2017).
2016
to top
2015
to top
2014
to top
How to establish a CDO Office in Your Organization. MIT 2014 CDOIQ Symposium, summary from Session 9D on July 24, 2014. MIT-CDO-WP-03
~
Lee, Y.W., Madnick, S.E., Wang, R.Y., Wang, F.L., Zhang, H. (2014) A Cubic Framework for the Chief Data Officer: Succeeding in a World of Big Data. MIS Quarterly Executive 13(1):1-13. MIT-CDO-WP-02
~
Zhu, H., Madnick, S.E., Lee, Y.W., Wang, R.Y. (2014) Data and Information Quality Research: Its Evolution and Future, Computing Handbook: Information Systems and Information Technology, 3rd Edition, Editors: Heikki Topi, Allen Tucker. Chapman & Hall / CRC, pp. 16.1-16.20. MIT-CDO-WP-01
2012
to top
Lee, Y.W., Chung, W.Y., Wang, R.W., Zhang, H. (2012). On the Rise of the Chief Data Officers in a World of Big Data. To be presented at the Pre-ICIS 2012 SIM Academic Workshop, Orlando, Florida, December 15, 2012.
2011
to top
Madnick, S.E. and Lee, Y.W. (2011). Editorial Notes: Classification and Assessment of Large Amounts of Data: Examples in the Healthcare Industry and Collaborative Digital Libraries.ACM Journal of Data and Information Quality, 2(3), 1-2.
Madnick, S.E. and Lee, Y.W.(2011). Editorial: In Search of Novel Ideas and Solutions with a Broader Context of Data Quality in Mind. ACM Journal of Data and Information Quality, 2(2), 1-3.
Pipino, L. and Lee, Y.W. (2011, August 5–7). Medical Errors and Information Quality: A Review and Research Agenda. Paper presented at the Americas Conference on Information Systems, Detroit, MI.
Talburt, J. (2011, December 8-11).Using Information Quality for Competitive Advantage. Paper presented at the International Symposium on Information Systems and Management, Xi’an, China.
Li, X., Madnick, S.E., and Zhu, H. (2011, November).Improving the Data Quality of Web Services Composition. Working Paper Composite Information Systems Laboratory(CISL) #2011-07, Sloan School of Management, MIT, Cambridge, MA.
Zhu, H. and Wu, H. (2011). Interoperability of XBRL Financial Statements in the U.S. International Journal of E-Business Research, 7(2), 18-33.
Zhu, H. and Wu, H. (2011). Quality of Data Standards: Framework and Illustration using XBRL Taxonomy and Instances. Electronic Markets, 21(2), 129-139.
Zhu, H., Ma, Y., and Su, G. (2011, December 3).Collaboratively Assessing Information Quality on the Web. Working Paper presented at the First ICIS sigIQ Workshop, Shanghai, China.
Zhu, H., and Wu, H. (2011, December 3). Interoperability of Data Created using Extensible Data Standards. Working Paper presented at the First ICIS sigIQ Workshop, Shanghai, China
Ma, Y., Zhu, H., Su, G. and Akhriza, T.M. (2011, December 3). Hyperbolic Tree for Effective Visualization of Large Extensible Data Standards. Paper presented at the First ICIS sigIQ Workshop, Shanghai, China.
2010
to top
Madnick, Stuart E. and Lee, Y. W. (2010). Editors’ Comments: ACM Journal of Data and Information Quality (JDIQ) is alive and well!. ACM Journal of Data and Information Quality 2(1), 1-5.
Yao, Yurong, D. M. Lee, and Lee, Y.W. (2010). Cost and Service Capability Considerations on the Intention to Adopt Application Service Provision Services. Journal of Database Management 21(3), 90-113.
Krieger, Michael M., Deputy CIO, Office of the Army CIO/G6. (2010, July 14). Data — A Force Multiplier for Effective Decision Making. Keynote address, MIT 2010 IQ Industry Symposium, Cambridge, MA.
Bottega, J., Vice President and Chief Data Officer, Federal Reserve Bank of New York. (2010, July 15). Information Quality and the Financial Crisis. Keynote address, MIT 2010 IQ Industry Symposium, Cambridge, MA.
Zhu, H., Wang, R. Y. (2010). Information Quality Framework for Verifiable Intelligence Products. In Chan, Y. and Talley, T. M. M. (Eds.), Data Engineering: International Series in Operations Research & Management Science. New York: Springer.
2009
to top
Madnick, S.E., Wang, R.Y., Lee, Y.W., and Zhu, H. (2009). Overview and Framework for Data and Information Quality Research. ACM Journal of Data and Information Quality, 1(1), 1-22.
Bechtold, R., U.S. Army Chief Data Officer, Office of the Army CIO/G6. (2009, July 15).Transforming the Army Enterprise with High IQ. Keynote address, MIT 2009 IQ Industry Symposium, Cambridge, MA.
Madnick, S.E. and Lee, Y., (2009). Editors’ Comments: Where the JDIQ Articles Come From: Incubating Research in an Emerging Field.ACM Journal of Data and Information Quality 1(3), 1-5.
Madnick, S.E. and Lee, Y. (2009). Editorial Letter for the Special Issue on Data Quality in Databases and Information Systems.ACM Journal of Data and Information Quality, 1(2), 1-2.
Naumann, F. and Raschid, L. (2009). Editorial Letter for the Special Issue on Data Quality in Databases and Information Systems. ACM Journal of Data and Information Quality, 1(2), 1-2.
Madnick, S.E. and Yang Lee, Y. (2009). Editorial for the Inaugural Issue of the ACM Journal of Data and Information Quality (JDIQ). ACM Journal of Data and Information Quality, 1(1), 1-6.
2008
to top
2007
to top
Lee, Y., Chase, S., Fisher, J., Leinung, A., McDowell, D., Paradiso, M., Simons, J., and Yarsawich, C. (2007, August). CEIP Maps: Context-embedded Information Product Maps. Paper presented at the Thirteenth Americas Conference on Information Systems (AMCIS), Key Stone, CO.
Lee, Y. W., Pierce, E., Talburt, J., Wang, R., and Zhu, H. (2007). A Curriculum for a Master of Science in Information Quality. Journal of Information Systems Education, 18(2), 233-240.
Shankaranarayanan, G. and Wang, R. (2007, November 9-11). IPMAP: Research Status and Direction. Paper presented at the 12th International Conference on Information Quality, MIT, Cambridge, MA.
Ang, W.H., Deng, V., Lee, Y., Madnick, S.E., Mistree, Michael Siegel, Diane Strong, D., and Wang, R.Y. (2007). The House of Security: Stakeholder Perceptions of Security Assessment and Importance The FSTC Innovator (MIT Sloan School Working Paper 4662-07). FSTC Innovator: The Journal for Financial Services Technology Leaders, 1(1), 19024
Talburt, J., Wang, R., Hess, K., & Kuo, E. (2007). An algebraic approach to data quality metrics for entity resolution over large datasets. In L. Al-Hakim (Ed.), Information quality management: Theory and applications (pp. 1-22). Hershey, PA: Idea Group Publishing. Extended version, original published in ICIQ-2004 Proceedings.
2006
to top
Lee, Y.W., Pipino, L.L., Funk, J.D., Wang, R.Y. (2006). Journey to Data Quality. Cambridge, MA: MIT Press.
Madnick, S.E. and Zhu, H. (2006). Improving Data Quality with Effective Use of Data Semantics. Data and Knowledge Engineering 59(2), 460-475.
Ballou, D.P., Chengalur-Smith, I.N. and Wang, R.Y. (2006). Sample-Based Quality Estimation of Query Results in Relational Database Environments. IEEE Transactions on Knowledge and Data Engineering, 18(5), 639-650.
Fisher, C., Lauria, E., Chengular-Smith, S., Wang, R.Y. (2006). Introduction to Information Quality. United Kingdom: AuthorHouse.
2005
to top
Wang, R., Pierce, E., Madnick, S.E and Fisher, C. (Eds.). (2005). Information Quality (Advances in Management Information Systems). Armonk, NY: M.E. Sharpe.
2004
to top
Lee, Y.W. (2003-2004, Winter). Crafting Rules: Context-Reflective Data Quality Problem Solving. Journal of Management Information Systems, 20(3), 93-119.
Wang, R. (2004, April). Data Quality: Theory in Practice. (Executive summary)
Lee, Y.W., Pipino, L., Strong, D.M., and Wang, R.W. (2004, Jan-Mar). Process Embedded Data Integrity. Journal of Database Management, 15(1), 87-103.
Davidson, B., Lee, Y.L., and Wang, R.Y. (2004). Developing Data Production Maps: Meeting Patient Discharge Submission Requirements. International Journal of Healthcare Technology and Management, 6(2), 87-103.
Ballou, D., Madnick, S.E., and Wang, R.W. (2003-2004, Winter). Special Section: Assuring Information Quality. Journal of Management Information & Systems, 20(3), 9-11.
Lee, Y.W. and Strong, D.M. (2003-2004, Winter). Knowing-Why About Data Processes and Data Quality. Journal of Management Information & Systems 20(3), 13-39.
Madnick, S.E., Wang, R.Y., and Xian, X. (2003-2004, Winter). The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Quality. Journal of Management Information & Systems, 20(3), 41-69.
Talburt, J., Kuo, E., Wang, R. & Hess, K. (2004). An algebraic approach to data quality metrics for customer recognition. In S. Chengular-Smith, L Raschid, J. Long, & C. Seko (Eds.), 9th International Conference on Information Quality (pp. 234-247). Cambridge, MA: MIT IQ Publishing
2003
to top
Ganesan Shankaranarayanan, G., Ziad, M., and Wang, R. (2003, Oct-Dec). Managing Data Quality in Dynamic Decision Environments: An Information Product Approach. Journal of Database Management, 14(4), 14, 32
Yee, Y.W. and Strong, D.M. (2003, November 7-9). Process Knowledge and Data Quality Outcomes. Paper presented at the Eighth International Conference on Information Quality, MIT, Cambridge, MA.
Wang, R., Allen, T., Harris, W., and Madnick, S.E. (2003, March 8-15). An Information Product Approach for Total Information Awareness. Paper presented at the IEEE Aerospace Conference, Big Sky, MT.
Stuart Madnick, S.E., Wang, R.Y., et al. (2003). Exemplifying Business Opportunities From Corporate Household Research. [White Paper].
Madnick, S.E. and Wang,R.Y. (2003). MIT TDQM Research Initiative on Corporate Householding.
2002
to top
Lee, Y., Strong, D., Kahn, B., and Wang, R. (2002). AIMQ: A Methodology for Information Quality Assessment. Information and Management, 40(2), 133-146.
Chung, W., Fisher,C., and Wang, R. (2002, November 8-10). What Skills Matter in Data Quality? Paper presented at the Seventh International Conference on Information Quality, MIT, Cambridge, MA.
Madnick, S.E., Wang, R.Y., and Zhang, W. (2002, November 8-10). Framework for Corporate Householding. Paper presented at the Seventh International Conference on Information Quality, MIT, Cambridge, MA.
Pipino, L., Lee, Y., Wang, R. (2002). Data Quality Assessment. Communications of the ACM, 45(4), 211-218.
Kahn, B., Strong, D., and Wang, R. (2002). Information Quality Benchmarks: Product and Service Performance. Communications of the ACM, 45(4), 184-192.
2001
to top
Lee, Y., Allen, T., and Wang, R. (2001, November 2-4). Information Products for Remanufacturing: Tracing the Repair of an Aircraft Fuel-Pump. Paper presented at the Sixth International Conference on Information Quaility, MIT, Cambridge, MA.
Arie Segev, A., and Wang, R. (2001, November 2-4). Data Quality Challenges in Enabling eBusiness Transformation. Working paper presented at the Sixth International Conference on Information Quaility, MIT, Cambridge, MA.
Madnick, S., Wang, R., Dravis, F., and Chen, X. (2001, November 2-4). Improving the Quality of Corporate Household Data: Current Practices and Research Directions. Paper presented at the Sixth International Conference on Information Quaility, MIT, Cambridge, MA.
Wang, R.Y., Ziad, M., Lee, Y.W. (2001). Data Quality. New York: Springer.
2000
to top
1999
to top
Huang, K.T., Lee, Y.W., Wang, R.Y. (1999). Quality Information and Knowledge. Upper Saddle River, New Jersey: Prentice Hall.
1998
to top
Funk, J., Lee, Y., and Wang, R. (1998, October 23-25). Institutionalizing Information Quality Practice: The S. C. Johnson Wax Case. Paper Presented at the 1998 Conference on Information Quality, MIT, Cambridge, MA.
Storey, V. and Wang, R. (1998, October 23-25). Modeling Quality Requirements in Conceptual Database Design. Paper Presented at the 1998 Conference on Information Quality, MIT, Cambridge, MA.
Wang, R., Lee, Y., Pipino, L., and Strong, D. (1998, Summer). Manage Your Information as a Product. Sloan Management Review, 39(4), 95-105. (Link to Sloan Management Review)
Ballou, D., Wang, R., Pazer, H. and Tayi, G.K. (1998, April). Modeling Information Manufacturing Systems to Determine Information Product Quality.Management Science, 44(4), 462-484.
Wang, R. Y. (1998, February). A Product Perspective on Total Data Quality Management.Communications of the ACM, 41(2), 58-63.
Tayi, G.K. and Ballou, Donald P. (1998, February). Examining Data Quality.Communications of the ACM, 41(2), 54-57.
1997
to top
Kovac, R., Lee, Y., and Pipino, L. (1997, October 24-26). Total Data Quality Management: The Case of IRI, Information Quality. Paper presented at the 1997 Conference on Information Quality, MIT, Cambridge, MA.
Strong, D., Lee, Y., and Wang, R. (1997, August). 10 Potholes in the Road to Information Quality. IEEE Computer, 30(8), 38-46.
Strong, D., Lee, Y., and Wang, R. (1997, May). Data Quality in Context. Communications of the ACM, 40(5), pp. 103-110.
1996
to top
Wand, Y., and Wang, R. (1996, November). Anchoring Data Quality Dimensions in Ontological Foundations. Communications of the ACM, 39(11), 86-95.
Wang, R. and Strong, D. (1996, Spring). Beyond Accuracy: What Data Quality Means to Data Consumers. Journal of Management Information Systems, 12(4), 5-33.
1995
to top
Wang, R., Reddy, M., and Kon, H. (1995, March). Toward quality data: An attribute-based approach. Journal of Decision Support Systems, 13(3-4), 349-372.
1993
to top
Wang, R., Reddy, M. and Gupta, A. (1993, December).An Object-oriented Implementation of Quality Data Products. Paper presented at the Workshop on Information Technologies and Systems, Orland, FL.
~
Tu, S. and Wang, R. (1993, December).Modeling Data Quality and Context through Extensions of the ER Model. Paper presented at the Workshop on Information Technologies and Systems, Orland, FL.
~
Wang, R., Kon, H. and Madnick, S. (1993, April 19, 23). Data Quality Requirements Analysis and Modeling. Proceedings of the Ninth International Conference of Data Engineering, Vienna, Austria.
1990
to top
Wang, R. and Madnick S. (1990, August). A Polygen Model for Heterogeneous Database Systems: The Source Tagging Perspective. Paper Presented at the Sixteenth International Conference on Very large Databases, Brisbane, Australia.
