环境研究规划中的数据质量目标。

A. R. Batterman, S. Batterman, K. M. Jensen, F. W. Whiteman
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引用次数: 2

摘要

本文介绍了数据质量目标课程的重点内容,该课程涉及美国环境保护署(EPA)的七步研究规划过程,以及美国环境保护署国家健康与环境影响研究实验室(位于明尼苏达州德卢斯的中大陆生态学分部)的研究工作。介绍材料来源于“数据质量目标过程指南,EPA QA/G-4”。案例研究说明了在系统规划过程和随后的实验中做出的决定。本文演示了数据质量目标过程如何清晰地将研究目标与最终产品联系起来。将这一过程应用于环境研究,确保环境研究数据具有已知的、可信的、可辩护的和可用的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data quality objectives in environmental research planning.
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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