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.
Sample 1Sample 2Sample 3
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.
Sample 1Sample 2Sample 3
Data Quality Objectives means qualitative and quantitative statements of the quality of data needed to support specific decisions or regulatory actions.
Sample 1Sample 2Sample 3

Examples of Data Quality Objectives in a sentence

  • Guidance on Systematic Planning Using the Data Quality Objectives Process.

  • Data Quality Objectives Process for Hazardous Waste Site Investigations.

  • Regulatory Data Quality Objectives Supporting Tank Waste Remediation System Privatization Project.

  • The Department's Performance Based Measurement System is continuously evolving to incorporate the forefronts of scientific inquiry where it is necessary, while allowing inexpensive, innovative applications of chemical measurements when the Data Quality Objectives of the project are met.The Commission is not adopting the revisions made to 40 CFR Part 266, Subpart H - “Hazardous Waste Burned in Boilers and Industrial Furnaces” .

  • If a Risk Assessment is expected to be performed once release characterization is complete or nearly complete, Data Quality Objectives (DQO) for a Human Health Risk Assessment requires a Data Quality Objective of Level 3 or greater.

  • Guidance on Systematic Planning Using the Data Quality Objectives Process, EPA QA/G-4.

  • A sum- mary of Sample Data Quality Objectives is shown in Table II of Unit II.B.

  • Data Quality Objectives (DQOs) are quantitative and qualitative statements of the quality of data needed to support specific decisions or actions.

  • Data Quality Objectives should be developed and applied for sampling and analytical efforts involving the use of this method.

  • It does not measure fluorocarbons, such as Freons.1.3 Data Quality Objectives.


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.
Sample 1Sample 2Sample 3
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.
Sample 1
Data Quality Objectives means those qualitative and quantitative statements derived from the outputs of a scientific and legally defensible data collection planning process.
Sample 1

Related to Data Quality Objectives

  • Review Criteria has the meaning assigned to that term in Section 12.02(b)(i).

  • Business Criteria means any one or any combination of Income before Taxes, Net Income, Return on Equity, Return on Assets, Pre-tax Margin, Free Cash Flow, Valuation or EPS.

  • Targets means pre-agreed values to be achieved at the end of the period in relation to the result indicators included under a specific objective;

  • Performance Target means the level of performance expected of the HSP in respect of a Performance Indicator or a Service Volume; “person or entity” includes any individual and any corporation, partnership, firm, joint venture or other single or collective form of organization under which business may be conducted;

  • Quality Assurance Plan or “QAP” shall have the meaning set forth in Clause 11.2;