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U.S. Department of Transportation
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Quality Assurance: Key Insights
§Collect redundant data from multiple sensors
□Data can be combined so that false positives are filtered out
§Use standard industry reference files when possible
□Reduces erroneous information
§Data quality is highly industry dependent
□Choice between high‐output, real‐time data,
□    and scrubbed, pseudo real‐time data
□Greater the overall veracity required,
□    the more process‐intensive it is to enforce that
□    veracity, and the higher the delay in
□    disseminating the data
□Typically, fast, general data‐quality analysis for
□    real‐time systems, and thoroughly scrubbed
□    and sanitized data for historical and post real‐time analysis and display
Timely data is worth nothing, if it is inaccurate