opportunity to quickly identify deficiencies in either the
data collection or coding operations, because decisions
about the usability of each 24-h recall takes place shortly
after data have been coded. During the next data
processing phase, research is conducted to learn about
new foods and portion descriptions reported within the
recalls. Findings from this work lead to updates in the food
and Nutrient Database for Dietary Studies, which is
maintained for analysis of 24-h recalls. Automated data
integrity checks exist to detect suspicious values in the
individual 24-h recalls, which lead to greater accuracy and
consistency. Finally, aggregate data are used to identify
recalls with the nutrient intake outliers that should be
checked.