Measuring the Performance of Data Validators

Abstract

The National Climatic Data Center is committed to archiving and disseminating data of high quality. Automated screening of data has proven to be very effective in isolating suspect and erroneous values in large meteorological data sets. However, manual review by validators is required to judge the validity and correct the data that is rejected by the screens. Since the judgment of the validators affects the quality of the data, the efficacy of their actions is of paramount importance.