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1.8.4 Data Completeness <br /> Completeness is defined as a measure of the amount of valid data obtained from a measurement <br /> system compared to the amount that was expected under correct normal conditions. Field sampling <br /> conditions are unpredictable and non-uniform. Other problems affecting field completeness will be <br /> ' equipmendinstrument malfunctions and problems with sample recovery. These problems will be <br /> reduced by training field team members to perform basic repairs and by supplying spare parts and <br /> equipment at the field site. <br /> Analytical completeness is affected by a sample not analyzed before its holding time is expired; if it <br /> is damaged during handling, shipping, unpacking, or storage; or if the laboratory data cannot be <br /> validated and the sample cannot be reanalyzed. <br /> ' Critical samples are those samples that are essential to the successful completion of the project. The <br /> completeness goal for crucial samples is 100%. The project team will present any deviation from <br /> ! the sampling plan. <br /> 1.9 Special Training Requirements <br /> ' No special training requirements or certifications are required for this project except for the 40-hour <br /> HAZWOPER class and annual refreshers. Resumes of CGRS personnel who may be involved with <br /> this project are presented in Attachment A. <br /> ' 1.10 Documentation and Records <br /> Activities that affect data and data quality and that potentially will be used as evidence will be <br /> ' documented. The project manager will maintain a supply of and will control these documents. The <br /> following documents will be used if appropriate: <br /> ➢ Sample labels; <br /> ' ➢ Chain-of-Custody records; <br /> ➢ Sample analysis request sheets; <br /> ' ➢ Electronic data storage devices and/or field logbooks; <br /> ➢ Calibration logbooks; <br /> ! ➢ Shipping logbooks; <br /> ➢ SAPs; <br /> ' ➢ QAPP; <br /> ➢ Progress and interim reports; <br /> ➢ Information written on photos, maps and drawings; <br /> ' ➢ Laboratory data packages; and <br /> ➢ Data qualification packages. <br /> All information pertinent to field sampling operations will be recorded including all field <br /> observations and in situ measurements necessary to explain and reconstruct sampling operations. <br /> The primary repository for the information will be a Dell computer backed up with a field logbook. <br /> Each sample will be identified with a label. Labels will be placed on the containers prior to or at the <br /> ' time of sampling. Samples requiring refrigeration will be placed in a chest immediately after <br /> collection. A description of sampling locations, sample containers, time of collection, preservations <br /> if any used and various other pertinent facts relative to sample collection and preservation will be <br /> ' recorded in the field logbook. <br /> Varra Companies <br /> Quality Assurance Protect Plan <br /> Page 5 <br />