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•Quality Assurance Project Plan (QAPP)
•Rule
EQuIS DQM is organized around data quality checks, to which any data set may be compared. One or more checks can be selected to run against the data set at one time. A check is a group of one or more rules. There are a variety “out-of-the-box” checks available for use in DQM (see DQM Checks ), and each of the checks may be modified to desired specifications.
Each data validation effort is performed as a distinct event in DQM, which entails selection of analytical results data set(s) that are run through any or all of the automated checks for the selected DQM QAPP and is followed by a user review of the DQM generated flags.
Each rule has a set of parameters. Parameters make up the elements used in each check and allow for each check to be tailored for different analytes or methods.
Data qualifiers are flags assigned to laboratory analytical results by the laboratory and/or the data reviewer when QA/QC criteria are not met and are intended to assist the data user to use the data appropriately in a manner consistent with project objectives. Within DQM, the qualifier is the value applied to the data set if a rule is violated. Each rule has its own qualifier, but more than one rule can have the same qualifier.
A written document that provides a framework for environmental data collection, which will meet specific project objectives and includes procedures to obtain data of known and adequate quality. Basic QA/QC elements should be addressed in the QAPP, including: precision, accuracy, sensitivity, representativeness, completeness, and comparability.
Provides a short reference to a longer description of why that qualifier has been added to a result.
Each check has one or more individual rules that are used to compare to each result record in the data set and used to assign qualifiers.
An SDG is a group of samples sent to a laboratory for analysis in a single consignment. This is distinct from a laboratory batch.
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