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Lee, Yang W.

Dr. Lee’s research areas include data and information quality; IT-mediated institutional learning and problem-solving; systems and data integration; enterprise architecture; and healthcare information and medical errors. She has taught Information Quality courses for honors students (“Information Quality: Technology and Philosophy”) and MBA students (“Information Quality for Global Managers”), and various MIS courses, such as, “Telecommunications and Networks,” “Information Resource Management” for MBA and undergraduate students at Northeastern University. She has also taught “eIntegration: Strategy, Technology, and Organizations” for MBA and undergraduate students at MIT, and various Information Quality courses for executives at MIT, UC Berkeley, and at many other institutions globally.

Professor Lee was a visiting assistant professor at MIT. She was Associate Director of Total Data Quality Program at MIT, and Research Associate at MIT. She was a co-founder of the International Conference on Information Quality (ICIQ) and the Cambridge Research Group. Professor Lee has provided consultation for many companies and agencies in private and public sectors in the US and internationally for over 20 years. Many concepts, frameworks, techniques, and software applications produced from her research and industry practice over years are used and applied in practice.

Professor Lee is a founding and current editor-in chief for the ACM Journal of Data and Information Quality. She is on editorial board of Journal of Database Management, Information and Management and a reviewer for leading journals in the MIS area. She has served as conference chair, program chair, track chair, session chair for many conferences in information systems area. Currently, she is also an adviser for PhD and Graduate Program in Information Quality at University of Arkansas, Little Rock.Yang Lee is the recipient of the prestigious 2012 Academic Achievement Award, the 2012 Data Management Hall of Famer, from the Data Management Association International (DAMAI) for her theoretical contribution and work as a thought leader in the field of Data Quality.