Guidance for the Data Quality Objectives Process
Title | Guidance for the Data Quality Objectives Process PDF eBook |
Author | United States. Environmental protection agency. Office of environmental information (Washington DC). |
Publisher | DIANE Publishing |
Pages | 74 |
Release | 2000 |
Genre | |
ISBN | 1428904131 |
Guidance for the Data Quality Objectives Process
Title | Guidance for the Data Quality Objectives Process PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 1994 |
Genre | Environmental sciences |
ISBN |
Guidance For The Data Quality Objectives Process... EPA QA/G-4... U.S. Environmental Protection Agency... September 1994
Title | Guidance For The Data Quality Objectives Process... EPA QA/G-4... U.S. Environmental Protection Agency... September 1994 PDF eBook |
Author | |
Publisher | |
Pages | 0 |
Release | 1998 |
Genre | |
ISBN |
Guidance on Systematic Planning Using the Data Quality Objectives Process EPA Qa/G-4
Title | Guidance on Systematic Planning Using the Data Quality Objectives Process EPA Qa/G-4 PDF eBook |
Author | United States Environmental Protection Agency (EPA) |
Publisher | Createspace Independent Publishing Platform |
Pages | 120 |
Release | 2018-07-11 |
Genre | |
ISBN | 9781722797423 |
Guidance on Systematic Planning Using the Data Quality Objectives Process EPA QA/G-4
Guidance for the Data Quality Objectives Process
Title | Guidance for the Data Quality Objectives Process PDF eBook |
Author | |
Publisher | |
Pages | 68 |
Release | 1994 |
Genre | Sampling (Statistics) |
ISBN |
Guidance for quality assurance project plans
Title | Guidance for quality assurance project plans PDF eBook |
Author | |
Publisher | DIANE Publishing |
Pages | 136 |
Release | |
Genre | |
ISBN | 1428903267 |
Guide for Developing Data Quality Objectives for Ecological Risk Assessment at DOE Oak Ridge Operations Facilities
Title | Guide for Developing Data Quality Objectives for Ecological Risk Assessment at DOE Oak Ridge Operations Facilities PDF eBook |
Author | |
Publisher | |
Pages | 19 |
Release | 1996 |
Genre | |
ISBN |
For the past several years the US Environmental Protection Agency (EPA) has been attempting to streamline and increase the efficiency of field data collection programs, especially Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) Remedial Investigation (RI) programs, by encouraging project managers to develop Data Quality Objectives (DQOs) prior to sampling. The DQO process is a strategic planning approach that is used to prepare for a data collection activity. It provides a systematic procedure for defining the criteria that a data collection design should satisfy, including when to collect samples, where to collect samples, the tolerable level of decision errors for study, and how many samples to collect. It is important to note that DQOs are developed through a process that ties data collection to specific problems and decisions.