Research is needed to determine the form and amount of historical data necessary to perform historical functions such as analyzing factors that affect pavement condition and life, generating pavement performance curves, analyzing long-term segment performance, life cycle cost analysis, identifying the most cost-effective designs and maintenance practices, etc. Statistical sampling methods may permit more efficient operations while maintaining accuracy. It would be useful to have a skilled statistician and a pavement engineer develop the appropriate statistical tests, sampling methods and data storage procedures to meet the Department's needs for historical analysis. This needs to be carefully studied so that the data gathered and stored and the analysis methods used can track the progress of pavements throughout their long lives. The procedures proposed by this study must be understandable and executable by staff with a limited statistical background.