Literature DB >> 11191120

Data quality objectives in environmental research planning.

A R Batterman1, S L Batterman, K M Jensen, F W Whiteman.   

Abstract

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.

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Year:  1999        PMID: 11191120     DOI: 10.1080/105294199750061290

Source DB:  PubMed          Journal:  Qual Assur        ISSN: 1052-9411


  2 in total

1.  Performance and storage integrity of dried blood spots for PCB, BFR and pesticide measurements.

Authors:  Stuart Batterman; Sergei Chernyak
Journal:  Sci Total Environ       Date:  2014-07-21       Impact factor: 7.963

2.  Information Quality in Regulatory Decision Making: Peer Review versus Good Laboratory Practice.

Authors:  Lynn S McCarty; Christopher J Borgert; Ellen M Mihaich
Journal:  Environ Health Perspect       Date:  2012-02-17       Impact factor: 9.031

  2 in total

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