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Background

Why Use the DQO Process?

The DQO process is a planning tool for data collection activities. It provides a basis for balancing decision uncertainty with available resources. The DQO process is required for all significant data collection projects within DOE's Office of Environment, Safety and Health, Corporate Performance Assessment, Quality Assurance Programs, EH-31.

Steps in the DQO Process

There are seven steps in the DQO process. Working through these steps, stakeholders capture the logic required to define the type, quality, and quantity of data needed for environmental decision making.

Glossary

Guidance for the Data Quality Objectives Process EPA QA/G-4 Final, September 1994 Appendix D - Glossary of Terms.


Information Contact: Brent Pulsipher
Statistical Sciences
Pacific Northwest National Laboratory