Data Quality Objectives definition

Data Quality Objectives means qualitative and quantitative statements of the overall level of uncertainty that the Department will accept in results or decisions based on environmental data.
Data Quality Objectives means qualitative and quantitative statements of the quality of data needed to support specific decisions or regulatory actions.
Data Quality Objectives or "DQO" means performance and acceptance criteria developed to clarify study objectives, define the appropriate type of data, and specify tolerable levels of acceptable data.

Examples of Data Quality Objectives in a sentence

  • Data quality objective process steps related to the implementation of the sampling and analysis plan in accordance with "Guidance on Systematic Planning Using the Data Quality Objectives Process," EPA QA/G-4, EPA/240/B-06/001, as incorporated by reference in Section R315-101-12.


More Definitions of Data Quality Objectives

Data Quality Objectives means performance and acceptance criteria that clarify study objectives, define the appropriate type of data, and specify tolerable levels of potential decision errors that will be used as the basis for establishing the quality and quantity of data needed to support decisions.
Data Quality Objectives means the qualitative or quantitative statements, the application of which is designed to ensure that data of known and appropriate quality are obtained.
Data Quality Objectives means those qualitative and quantitative statements derived from the outputs of a scientific and legally defensible data collection planning process.

Related to Data Quality Objectives

  • Evaluation Criteria means the criteria set out under the clause 27 (Evaluation Process) of this Part C, which includes the Qualifying Criteria, Functional Criteria and Price and Preferential Points Assessment.

  • Performance Standards or “PS” shall mean the cleanup levels and other measures of achievement of the remedial action objectives, as set forth in the ROD.