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Quality Assurance Project Plan for Removal Action <br /> APN 209-450-03,Mountain House,CA <br /> Page 12 <br /> The application of data validation criteria is a function of project-specific DQOs. The QA/QC Manager <br /> will determine if the data quality objectives for the analytical data have been met. Results of the data <br /> validation review will be documented and summarized in a Data Validation Memorandum, which is <br /> summarized in the final investigation report. <br /> 8.3 PROCEDURES FOR DATA VALIDATION <br /> Guidance for performing data validation for the types of analyses to be utilized for this investigation is <br /> provided in the National Functional Guidelines. Data validation to the extent required by DTSC will be <br /> documented in a manner consistent with these guidelines. The results of the data validation will be <br /> included in a Data Validation Memorandum, if necessary. This documentation will be maintained by <br /> Condor in the project files. <br /> 8.4 DATA QUALIFIERS <br /> The data validation procedures were designed to review each data set and identify biases inherent to the <br /> data and determine its usefulness. Data validation flags are applied to those sample results that fall outside <br /> of specified tolerance limits, and, therefore, did not meet the program's quality assurance objectives <br /> described in Section 4.2. Data validation flags to be used for this project are defined in the National <br /> Functional Guidelines. Data validation flags will indicate if results are considered anomalous, estimated, <br /> or rejected. Only rejected data are considered unusable for decision-making purposes; however, other <br /> qualified data may require further verification. <br /> 9.0 PERFORMANCE AND SYSTEM AUDITS <br /> Audit programs are established and directed by the Condor QA staff to ensure that field and laboratory <br /> activities are performed in compliance with project controlling documents. This section describes <br /> responsibilities, requirements, and methods for scheduling, conducting, and documenting audits of field <br /> and laboratory activities. <br /> 9.1 FIELD AUDITS <br /> Field audits focus on appropriateness of personnel assignments and expertise, availability of field <br /> equipment, adherence to project controlling documents for sample collection and identification, sample <br /> handling and transport, use of QA samples, chain of custody procedures, equipment decontamination and <br /> documentation. Field audits are not required, but may be performed in the event significant discrepancies <br /> are identified that warrant evaluation of field practices. <br /> 9.2 LABORATORY AUDITS <br /> Laboratory audits include reviews of sample handling procedures, internal sample tracking, standard <br /> operating procedures (SOPS), analytical data documentation, QA/QC protocols, and data reporting. Any <br /> selected offsite laboratory will be licensed by the State of California as a certified testing laboratory. If a <br /> laboratory audit is conducted, details of the visit will be documented and presented to DTSC upon <br /> request. <br /> 9.3 DATA AUDITS <br /> Data audits will be performed on analytical results received from the laboratories if issues arise that bring <br /> data validity into question. These audits will be accomplished through the process of data validation as <br /> described in Section 8.3, or may involve a more detailed review of laboratory analytical records. Data <br /> audits require the laboratory to submit complete raw data files to Condor for validation and verification. <br /> CONDOR <br />