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GEfz� <br /> • GENESIS ENGINEERING 8 REDEVELOPMENT <br /> under CERLCA (U.S. EPA 1988). Specific aspects of the data management scheme are <br /> discussed below. <br /> 8.2 Data Validation <br /> The data validation process is used to screen data and accept, reject, or qualify data based on <br /> sound criteria. Data will be validated, as appropriate, based on holding times, initial <br /> calibration, continuing calibration,blank results, and other QC sample results. The Project <br /> Manager will be responsible for verifying the laboratory data meet the QA/QC requirements <br /> of the QAPP. <br /> 8.2.1 Field Data Validation <br /> To ensure the validity of data gathered in conjunction with the site field activities, all aspects <br /> of the project need to be monitored. Periodic audits will be conducted to monitor adherence <br /> to SOPS, QC protocols, and general program policies and protocols. <br /> Factors affecting out-of-control conditions can usually be traced to sampling or laboratory <br /> activities. The following sections are examples of specific conditions that result in out-of- <br /> control situations and corrective action requirements are discussed in Section 9.2. <br /> Areas in which out-of-control situations have the potential to occur include: <br /> • Improper sampling techniques <br /> • Inappropriate sample identification <br /> • Improper sample storage and preservation <br /> • Nonconformance to appropriate Chain-of-Custody protocols <br /> 8.2.2 Data Quality Management <br /> Data validation is the process of reviewing data and accepting, qualifying, or rejecting data <br /> on the basis of sound criteria using established EPA guidelines. An analyst at the laboratory, <br /> other than the original data processor,will be responsible for reviewing all steps of data <br /> processing and all input parameters, calibrations,calculations, and transcriptions will be <br /> carefully checked prior to the laboratory reporting the results. The analyses supervisor at the <br /> laboratory will check a minimum of 10 percent of all calculations from the raw to final data <br /> prior to releasing the analytical report. <br /> The QC sample results (laboratory control standards, surrogates, initial calibration standards, <br /> and continuing calibration standards)will be compared against project-specific accuracy and <br /> . precision criteria. The QC data must meet acceptance levels prior to processing the <br /> William DePaoli Property 13 of 21 <br /> Quality Assurance Project Plan <br /> February 2012 <br />