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<br /> <br /> <br />9-1 <br /> <br />Section 9 <br />Data Management <br />Field and laboratory data for the RCQ project will be recorded in a project-specific Microsoft Access- <br />compatible database (e.g., EQuiS). The data will be reviewed and qualified by the Database Manager prior <br />to entry into the database. <br />9.1 Data Reduction <br />Data reduction includes the processes that change the numeric value of the raw data. Most field <br />data will be generated by directly reading the instrumentation (i.e., no calibration curves are <br />generated). Therefore, no data reduction will be performed for flow measurements, temperature, pH, <br />DO, SC, ORP, or turbidity. <br />Laboratory data reduction will be performed in accordance with the specified analytical method and <br />presented as analytical results. The laboratory data will be reviewed to verify that the appropriate <br />units are assigned to all concentrations. Additionally, further data reduction may include graphing <br />using spreadsheet or database software and preparing descriptive statistics. <br />9.2 Field Data <br />Field data will be documented per the applicable SOP either in a field logbook or on field data <br />sheets. Field staff will complete all relevant sections of the data sheet during the sampling event. <br />Field data will be collected and uploaded to the project database. <br />9.3 Analytical Data <br />The laboratory will provide reports summarizing analytical results and QC results in both hard copy <br />and electronic formats. Requirements for electronic data deliverables will be provided to the <br />laboratory at the start of data collection and will include, at a minimum, the sample ID, sampling <br />date/time, test method, extraction date/time, analysis date/time, analytical results, QA sample <br />results, instrument and equipment calibration summary information, and a description of any <br />corrective action taken to resolve data quality issues. <br />9.4 Database Maintenance <br />The Database Manager will be responsible for maintaining an accurate and complete project <br />database. Analytical data reports will be verified, validated, and uploaded to the project database <br />within 1 month of receipt from the laboratory.