Data quality issues were being explored, along with paths to resolve them, for the Bureau of Transporation Studies' (BTS) Intermodal Transportation Database (ITDB). One principal recommendation is that BTS develop a software toolkit that would automate generic aspects of data quality assessments and systemize application of relevant domain knowledge. The ITDB integrates a number of diverse databases maintained by the U.S. Department of Transportation. A central component of the project was to link data quality requirements to the uses of the data, in part by modeling the impact of data quality in diverse contexts.
Workshop(s): Affiliates Workshop on Data Quality, November 30-December 1, 2000, Morristown, NJ
NISS Affiliates Technology Day - Case Studies in Data Quality, February 28, 2002
Principal Investigator(s): Alan Karr, NISS
Senior Investigator(s): Ahmed Elmagarmid , Purdue
Post Doctoral Fellow(s): Ashish Sanil