Site-Specific Health and Safety Plan (HASP) - Laschools.org

3.4 FIELD DATA VALIDATION
The Project Chemist will review 100 percent of all screening data prior to reporting.
Screening data will constitute all analytical method results from analyses performed in a
field laboratory environment. The Project QA Officer will determine if DQOs for field
data have been met, and also will calculate the percent complete (PC) for field data
results.
At a minimum, the review of screening data will focus on the following topics:
• Holding times;
• Method blanks;
• Field instrumentation calibration and detection limits; and
• Completeness of data
Field data will be validated using the procedures described below:
• Routine checks (e.g., looking for errors in identification codes) will be made during
the processing of data.
• Internal consistency of a data set will be evaluated. This step will involve plotting
the data and testing for outliers.
• Checks for consistency of the data set over time will be performed. This can be
accomplished by comparing data sets against gross upper limits obtained from
historical data sets, or by testing for historical consistency. Anomalous data will be
identified.
• Checks may be made for consistency with parallel data sets. An example of such a
check would be comparing data from the same volume of soil.
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