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Hill <br /> v - <br /> Data Quality: <br /> The totality of features and characteristics of data that <br /> bears on its ability to satisfy a given purpose. The <br /> characteristics of major importance are accuracy, precision, <br /> completeness, representativeness and comparability. <br /> Data validation: <br /> ' A systematic process to review data to identify any outliers, <br /> omissions or suspect values to assure the validity of the <br /> data to the user. The screening process may be done by <br /> manual and or computer methods and utilize any consistent <br /> technique such as limits to screen impossible values or to <br /> analyze relationships between new and historical data sets. <br /> Enviroaraeatally Related Measurements: <br /> i A term used to describe all field and laboratory <br /> �. •, investigations that generate data involving the measurement <br /> of chemical, physical or biological parameters of the <br /> p environment: determining the presence or absence of priority <br /> pollutants in waste streams; health and ecological effect <br /> studies; clinical and epidemiological investigations; <br /> engineering and process evaluations; studies involving <br /> laboratory simulation of environmental events; and studies on ' <br /> pollutant transport including diffusion models. <br /> MDL: <br /> The Method Detection Limit is the minimum concentration of an <br /> analyte that can be measured and reported with 99% confidence <br /> that the value is greater than zero, as performed under ideal <br /> operating conditions. <br /> a <br /> Matrix Spike/Katrix Spike Duplicate: <br /> A technique used to provide a measure of accuracy for the <br /> method in a given matrix by adding predetermined quantities <br /> of analytes prior to sample extraction/digestion and <br /> analysis. The spike concentration should be at the <br /> 19 <br />