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only one percent of the new data in the database. Unless <br /> the system has been demonstrated to have a low error rate, <br /> this appears to be too low a percentage. One alternative <br /> approach might be to initially check a high percentage of <br /> the data, then gradually decrease the percentages provided <br /> that the observed error rate was within previously defined <br /> level of acceptance. This level of acceptance should be <br /> stated in the DMP. It is also recommended that the rate of <br /> verification be made a function of the nature of the data, <br /> with more critical data, for example the data used for the <br /> risk assessment, having a higher verification rate. <br /> 6. Section C.5, Data Management for Specific Tasks: <br /> The extent that the different tasks on the project require <br /> different levels of documentation and reporting, especially <br /> to provide for future data validation, the DMP should <br /> reflect the storage, and potential future use of laboratory <br /> data and associated QC data. It is suggested that the <br /> documents "Functional Guidelines for Evaluating Organic <br /> Analyses, " "Function Guidelines for Evaluating Inorganic <br /> Analyses, " the current organic and inorganic SOWs for CLP <br /> deliverables, and the Region 9 guidance in "Laboratory <br /> Documentation Requirements for Data Validation" (9QA-07-89) , <br /> be consulted before the databases are structured. <br /> 7 . Section C.5.3, Data Management for Site Characterization and <br /> Sampling: <br /> Section C. 5. 3 . 2 describes the main documentation areas <br /> described in the QAPP, but the other sections of the DMP do <br /> not appear organized to maintain all of this information. <br /> The DMP should be reviewed to ensure that it is consistent <br /> with the QAPP. <br /> IV-2 i <br /> U <br /> M <br />