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Quality Assurance Project Plan for Removal Action <br /> APN 209-450-03,Mountain House,CA <br /> Page 11 <br /> 8.0 DATA REPORTING <br /> This section presents reporting requirements relevant to the data produced during all project analytical <br /> activities. <br /> 8.1 FIELD DATA <br /> Data measured by field instruments will be recorded in field notebooks, laptops, and/or on required field <br /> forms. Examples of field documentation forms (if applicable) are included in the RAW. Units of measure <br /> for field analyses are identified on the field forms. The field data will be reviewed by the Project or Field <br /> Manager to evaluate completeness of the field records and appropriateness of the field methods <br /> employed. All field records will be retained in the project files. <br /> 8.2 LABORATORY DATA <br /> Analytical data will contain the necessary sample results and quality control data to evaluate the DQOs <br /> defined for the project. Documentation requirements for laboratory data are defined in USEPA Region 9 <br /> Draft Laboratory Documentation Requirements for Data Validation (USEPA, 1997). The laboratory <br /> reports will be consistent with USEPA Level III documentation and include the following data and <br /> summary forms: <br /> • Narrative, cross-reference, chain of custody, and method references <br /> • Analytical results <br /> • Surrogate recoveries(as applicable) <br /> • Blank results <br /> • Laboratory control sample recoveries <br /> • Duplicate sample results or duplicate spike recoveries <br /> • Sample spike recoveries <br /> • Associated raw data upon request <br /> • Electronic data upon request <br /> Data validation criteria are derived from the USEPA Contract Laboratory Program National Functional <br /> Guidelines for Organic and Inorganic Data Review (USEPA, 1994b and 1994c). The National <br /> Functional Guidelines provide specific data validation criteria that can be applied to data generated for <br /> this investigation. <br /> The laboratory data will be reviewed for compliance with the applicable method and the quality of the <br /> data reported. The following summarizes the areas of data validation. <br /> • Data Completeness <br /> • Holding Times <br /> • Calibrations <br /> • Blanks <br /> • Laboratory Control Samples <br /> • Matrix Spike/Matrix Spike Duplicates <br /> • Surrogates/Internal Standards (as applicable); <br /> • Field Quality Control Samples <br /> • Compound Identification and Quantification <br /> t4k <br /> CONDOR <br />