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Quality Assurance Project Plan <br />Red Creek Quarry Monitoring Program Section 2: Project Organization <br /> <br /> <br />2-2 <br /> <br />QA/QC procedures described in the SOPs and QAPP are fully implemented and that DQOs are met. <br />Specifically, the QAO will do the following: <br />• Provide independent QA oversight for the monitoring program as a whole. <br />• Review field books, data sheets, chain-of-custody (COC) forms, and laboratory analytical reports <br />to determine whether data meet SAP and QAPP requirements. <br />• Assess analytical data to determine whether the data meet measurement quality objectives <br />specified in the QAPP. <br />• Qualify data according to procedures contained in the QAPP. <br />• Prepare periodic data validation records to summarize the results of the data review and <br />validation. <br />• Report data quality issues, QC failures, and non-conformance with established standards to the <br />PM. <br />• Help identify corrective actions to be taken in the event of QC failures or non-conformance with <br />protocols and standards specified in the SAP and QAPP. <br />• Maintain an accurate and complete database of analytical and hydrologic data generated during <br />the monitoring program. <br />2.3 Data Manager <br />The Data Manager will compile all data related to the project in an Environmental Quality Information <br />System (EQuiS) database which will be utilized to provide data entry, secure storage, access, and <br />evaluation capabilities of data obtained during the monitoring efforts. The Data Manager will design <br />report exports to automatically calculate surface water and groundwater standards, to provide timely <br />review of analytical data against regulatory standards. The Data Manager will also facilitate <br />production of tables and figures using direct exports from the EQuIS database. This role includes <br />coordination with data validators, providing electronic data deliverables to validators to increase <br />efficiency and capture of validation qualifiers in preparation of data validation/data usability reports. <br /> <br /> <br /> <br /> <br />