EPA-QUALITY:  EPA QA/G-4

Title
Guidance on Systematic Planning Using the Data Quality Objectives Process
Author
U.S. Environmental Protection Agency
Abstract/Summary Statement
The Data Quality Objectives (DQO) Process is used to establish performance or acceptance criteria for collecting environmental data. The DQO Process serves as the basis for designing a plan for collecting data of sufficient quality and quantity to support the goals of a study. The guidance provides a standard working tool for project managers and planners to develop DQO for determining the type, quantity, and quality of data needed to reach defensible decisions or make credible estimates. The EPA recommends using the DQO Process in conjunction with the Decision Error Feasibility Trials (DEFT) software (EPA QA/G-4D).

The Data Quality Objectives (DQO) Process consists of seven iterative steps. Each step of the DQO Process defines criteria that will be used to establish the final data collection design. The DQO Process includes:
- Clarifying the study objective;
- Defining the most appropriate type of data to collect;
- Determining the most appropriate conditions from which to collect the data; and
- Specifying tolerable limits on decision errors.
Table of Contents
Introduction
Chapter 1. State the Problem
Chapter 2. Identify the Goals of the Study
Chapter 3. Identify Information Inputs
Chapter 4. Define the Boundaries of the Study
Chapter 5. Develop the Analytic Approach
Chapter 6. Specify Performance or Acceptance Criteria
Chapter 7. Develop the Plan for Obtaining Data
Chapter 8. Beyond the Data Objectives Process
Chapter 9. Additional Examples
Appendix
References
Citation
U.S. Environmental Protection Agency, 2006, Guidance on Systematic Planning Using the Data Quality Objectives Process: EPA QA/G-4. Office of Environmental Information, EPA/240/B-06/001, Feb. 2006.
Method Source
EPA-QUALITY
Source Organization Country
USA
Publication Year
2006
Special Notes
EPA/240/B-06/001
Item Type
Report / Guidance Document
Publication Source Type
Government Agency (Federal, USA)
Purpose
Monitoring program design
Design or Data Analysis Objectives
Revisit
Complexity
Medium
Media Emphasized
Surface Water
Media Subcategory
Special Topics