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The quality of data must be known and established before it can be used logically in any application. Data quality may be judged on the basis of its quantiative accuracy and on the confidence that can be placed in the qualitative identification of the parameters measured. This requires the production of data in a quality assurance program that permits the assignment of its statistically supported limits of uncertainty. The essential features of such a program, consisting of quality control and quality assessment techniques, are discussed in the paper.
accuracy, chemical analysis, control charts, data quality, environmental analysis, precision, quality assessment, quality assurance, quality control, reference materials, standard methods
Coordinator for Quality Assurance, Center for Analytical Chemistry, National Bureau of Standards, Gaithersburg, MD