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.

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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.

Data Quality Objectives means qualitative and quantitative statements of the quality of data needed to support specific decisions or regulatory actions.

Examples of Data Quality Objectives in a sentence

Guidance on Systematic Planning Using the Data Quality Objectives Process – EPA QA/G4.
Existing data are used whenever they meet the Data Quality Objectives (DQOs) for the decision being made, or can be validated with minimal additional supporting data of higher quality.
This section will include identification of Data Quality Objectives (DQOs) for the new data collected under this program.
The Program Chemist will act as a POC on all chemistry-related issues and shall be responsible for ensuring that all Data Quality Objectives (DQOs) are met.
Development of VSP originated in the mid-1990s in concurrence with development of the Data Quality Objectives (DQO) process at the U.S. Environmental Protection Agency (EPA) (EPA 2006).
The Project Chemist will act as a POC on all chemistry-related issues and shall be responsible for ensuring that all Data Quality Objectives (DQOs) are met.
Guidance for the Data Quality Objectives Process (EPA QA/G4), 2000.
As recommended in BMP 2, the Data Quality Objective (DQO) process described in the US EPA’s Guidance on Systematic Planning Using the Data Quality Objectives Process (EPA, 2006) will be followed in developing the Basin’s GSP monitoring network.
Click here and select Provides the project quality objectives (DQOs) or data quality objectives (PQOs) using a systematic planning process, such as EPA’s Data Quality Objectives Process (EPA-QA/G-4, February 2006) or the U.S. Army Corps of Engineers’ Technical Project Planning Process (USACE EM 200-1-2, 29 February 2016) document.
The Senior Chemist shall be responsible for the development of the Uniform Federal Policy-Quality Assurance Project Plan (UFP-QAPP) MC Worksheets, development of an electronic QAPP (eQAPP) in FUDSChem, along with the PDT, help establish the project Data Quality Objectives (DQO) following the Environmental Protection Agency’s (EPA) seven step DQO process.

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 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

Student growth objective means an academic goal that teachers and designated supervisors set for groups of students.
High-quality waters means all state waters, except:
Business Critical means any function identified in any Statement of Work as Business Critical.
Performance Targets means the specific objective goal or goals (which may be cumulative and/or alternative) that are timely set in writing by the Committee for each Executive for the Performance Period in respect of any one or more of the Business Criteria.
Clinical review criteria means the written screening procedures, decision abstracts, clinical protocols, and practice guidelines used by a health carrier to determine the necessity and appropriateness of health care services.