Data quality objectives in environmental research planning.

Publisher: Taylor & Francis Country of Publication: United States NLM ID: 9214530 Publication Model: Print Cited Medium: Print ISSN: 1052-9411 (Print) Linking ISSN: 10529411 NLM ISO Abbreviation: Qual Assur Subsets: MEDLINE

Publication: Washington, DC : Taylor & Francis
Original Publication: San Diego : Academic Press, c1991-

Quality Control*; Environmental Health/*statistics & numerical data ; Environmental Monitoring/*standards ; Research Design/*standards; Animals ; Data Collection/standards ; Decision Making ; Dioxins/toxicity ; Environmental Monitoring/statistics & numerical data ; Organizational Case Studies ; Pharmacokinetics ; Planning Techniques ; Problem Solving ; Reproducibility of Results ; Reproduction/drug effects ; Social Responsibility ; Trout/growth & development ; Trout/physiology ; United States ; United States Environmental Protection Agency ; Water Pollutants, Chemical/toxicity

This paper presents highlights of a Data Quality Objectives course relating the Environmental Protection Agency's (EPA) seven step research planning process to research efforts at the U.S. EPA National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, in Duluth, Minnesota. Introductory materials were derived from "Guidance for the Data Quality Objectives Process, EPA QA/G-4." Case studies illustrate decisions that were made during the systematic planning process and subsequent experimentation. This paper demonstrates how the Data Quality Objectives Process clearly links research goals and objectives with the final product. Application of the process to environmental research ensures that environmental research data are of known, credible, defensible and usable quality.

0 (Dioxins)
0 (Water Pollutants, Chemical)

Date Created: 20010224 Date Completed: 20010315 Latest Revision: 20031114

20231215

10.1080/105294199750061290

11191120