Richard Wang is the director of the MIT Information Quality (MITIQ) and Data Science Program and co-director of MIT’s Total Data Quality Management (TDQM) Program.
He is a prominent leader in the practice and research around the Chief Data Officer (CDO) role. He conceived and chaired the Inaugural MIT-Army CDO Forum and established the CDO Forum as an annual event at MIT. He has been chairing the Annual MIT CDO & Information Quality Symposium since 2007. His book, Chief Data Officer: Your data may be BIG, but is it any GOOD? will be published by MIT Press in 2013.
Dr. Wang has extensive federal government experience ranging from the Department of Defense to the intelligence community to other federal agencies. From 2009-2011, Dr. Wang served as the deputy CDO and chief data quality officer of the U.S. Army, for which he received letters of appreciation from the Army’s chief information officer (CIO) and the CIO in the Office of the Secretary of Defense.
Dr. Wang is the recipient of the 2005 DAMA International Achievement Award. Previous recipients of this award include E. F. “Ted” Codd, for inventing the Relational Data model, and Peter Chen for the Entity Relationship model. He is an honorary professor at Xi’An Jiao Tong University, China. From 2005-2009, he served as a visiting university professor of information quality at the University of Arkansas at Little Rock. Dr. Wang was a professor at the MIT Sloan School of Management for almost a decade. He received a Ph.D. in information technology from the MIT Sloan School of Management in 1985.
Dr. Wang has put the idea of information quality on the intellectual map with myriad publications. In 1996 he organized the premier International Conference on Information Quality, for which he has served as the general conference chair and currently serves as chairman of the board. Wang’s books on information quality include Journey to Data Quality (MIT Press, 2006), Information Quality: Advances in Management Information Systems (M.E. Sharpe, 2005), Introduction to Information Quality (MITIQ Publications, 2005), Data Quality (Kluwer Academic, 2001), and Quality Information and Knowledge (Prentice Hall, 1999).
Dr. Wang has been instrumental in the establishment of the Ph.D. and Master’s of Science in Information Quality degree program at the University of Arkansas at Little Rock, the Stuart Madnick IQ Best Paper Award for the International Conference on Information Quality, the comprehensive IQ Ph.D. dissertations website, and the Donald Ballou & Harry Pazer IQ Ph.D. Dissertation Award.
Dr. Wang has extensive interactions with industry and government, serving as an expert consultant, principal investigator, and advisor to execute enterprise data quality, data warehousing, and data governance projects.