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KIRTLAND AIR FORCE BASE ALBUQUERQUE, NEW MEXICO ...

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APPENDIX D<br />

2. DATA QUALITY OBJECTIVES<br />

Data Quality Objectives (DQOs) are scoping and planning tools applicable to every environmental<br />

sample collection effort. The establishment of DQOs is a necessary step in the generation of any projectspecific<br />

addendum. DQOs are quantitative and qualitative descriptions of the data required to support<br />

decision making. As target values for data quality, they are not necessarily criteria for acceptance or<br />

rejection of data. The DQO process generates a logical set of decisions that determines whether<br />

collection of samples is necessary; types of samples to collect, including quality control samples; design<br />

of the sample collection effort, including location and number of samples; analytical requirements,<br />

including precision, accuracy, comparability, completeness, and sensitivity of the method; and if there is<br />

sufficient confidence that the data will fulfill requirements.<br />

DQOs outlining the decision-making process and specifying the quality and quantity of data required to<br />

support decisions will be presented in the project-specific Quality Assurance Project Plan (QAPP). A<br />

general description of the DQO process is outlined in Section 4.0 of the base-wide QAPP. Since the data<br />

required for environmental restoration activities are based on end use of the data to be collected, different<br />

uses require different levels of data quality. There are five analytical levels that may be assigned to data<br />

depending on intended use of the data and the Quality Assurance/Quality Control (QA/QC) methods<br />

required to achieve the desired level of quality. These analytical levels are discussed in detail in the<br />

referenced section of the QAPP.<br />

Kirtland AFB<br />

Data Management Plan D-11 April 2004

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