File:Write 2004 - Application of Data Quality Objectives.pdf

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Revision as of 12:58, January 31, 2015 by DataRonin (talk | contribs) (Systematic planning is used to develop programs and to link program goals with cost, schedule, and quality criteria for the collection, eva- luation, or use of data. Under the U.S. Environmental Protection Agency’s (EPA’s) quality system, the data ...)
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Write_2004_-_Application_of_Data_Quality_Objectives.pdf(file size: 151 KB, MIME type: application/pdf)

Systematic planning is used to develop programs and to link program goals with cost, schedule, and quality criteria for the collection, eva- luation, or use of data. Under the U.S. Environmental Protection Agency’s (EPA’s) quality system, the data quality objective (DQO) process was developed to assist systematic planning (U.S. EPA, 2000; Batterman et al., 1999). While not mandatory, this process is EPA’s recommended planning approach for many environmental data collec- tion activities. It is based on the assumption that the ultimate goal for these activities is to make some decision (e.g., a regulatory compliance determination). This process uses a statistical approach to establish DQOs, which are qualitative or quantitative statements that clarify project objectives, that define the appropriate type of data, and that specify tolerable error levels for the decisions. The process finally de- velops a quality assurance (QA) project plan, including measurement quality objectives (MQOs), to collect data with uncertainties within these tolerable error levels.

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current12:58, January 31, 2015 (151 KB)DataRonin (talk | contribs)Systematic planning is used to develop programs and to link program goals with cost, schedule, and quality criteria for the collection, eva- luation, or use of data. Under the U.S. Environmental Protection Agency’s (EPA’s) quality system, the data ...

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