Assessing the relevance of environmental exposure data sets.
Assessing the relevance of environmental exposure data sets.
复制标题
评估环境暴露数据集的相关性。
DOI：
10.1002/ieam.4881
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发表时间：
2023
影响因子：
3.1
通讯作者：
Peters A
中科院分区：
文献类型：
--
作者：
Peters A
决策者使用环境暴露数据来评估环境风险，并采取措施减轻污染物的风险。本系列的第一篇文章总结了环境暴露数据的可用评估方案，与环境危害数据的可用评估方案相比，这些方案很少。第二篇文章涉及根据《暴露数据报告和评价标准》评估环境暴露数据集的可靠性。这篇文章的目的是提供一个概述和实用的指导相关性评估的背景下的CREED方法评估暴露监测数据集。系统地考虑相关性对于评价现有数据集和优化新监测研究的设计至关重要。相关性在此定义为数据集在解决特定目的或回答评估人员或生成接触数据的人员所定义的问题方面的适用性或适当性程度。目的定义将是相关性评估的基础，以澄清评估员应如何评定评估标准（完全符合、部分符合、不符合/不适当、未报告、不适用）。这将为审查结果的任何人提供透明度。明确的差距分析（即，阐明数据集对所述目的的局限性）是相关性评估的一个重要成果。相关性评价方法证明了三个案例研究，所有有关的淡水水生环境，其中的数据集被评为相关或不受限制，不相关，或不可分配。案例研究代表有机和无机成分，并且具有不同的数据特征（例如，截尾数据的百分比，采样频率，与支持参数的关系）。Integr Environ Assess Manag 2024;20：1004-1018。© 2023 SETACKey Points本文概述了在暴露数据报告和评估标准的背景下，评估暴露监测数据集的相关性评估方法，并提供了相关性评估指南。相关性在此定义为数据集满足评估者定义的特定目的的适用性或适当性程度，明确的目的定义是相关性评估的基础，以澄清评估人员应如何对评估标准进行评级（完全达到、部分达到、未达到/不适当、未报告、不适用）。以及明确的差距分析（即，阐明数据集对所述目的的局限性）是相关性评估的一个重要成果。
Environmental exposure data are used by decision‐makers to assess environmental risks and implement actions to mitigate risks from contaminants. The first article in this series summarized the available evaluation schemes for environmental exposure data, of which there are few compared to those available for environmental hazard data. The second article covered the assessment of the reliability of environmental exposure data sets under the Criteria for the Reporting and Evaluation of Exposure Data (CREED). The aim of this article is to provide an overview and practical guidance on the relevance assessment in the context of the CREED approach for evaluating exposure monitoring data sets. Systematically considering relevance is critical for both evaluating existing data sets and for optimizing the design of new monitoring studies. Relevance is defined here as the degree of suitability or appropriateness of a data set to address a specific purpose or to answer the questions that have been defined by the assessor or for those generating exposure data. The purpose definition will be the foundation for the relevance assessment, to clarify how the assessor should rate the assessment criteria (fully met, partly met, not met/inappropriate, not reported, not applicable). This will provide transparency for anyone reviewing the outcomes. An explicit gap analysis (i.e., an articulation of the data set limitations for the stated purpose) is an important outcome of the relevance assessment. The relevance evaluation approach is demonstrated with three case studies, all relating to the freshwater aquatic environment, where the data sets are scored as relevant with or without restrictions, not relevant, or not assignable. The case studies represent both organic and inorganic constituents, and have different data characteristics (e.g., percentage of censored data, sampling frequencies, relation to supporting parameters).Integr Environ Assess Manag2024;20:1004–1018. © 2023 SETACKey PointsThis article provides an overview and guidance on the relevance assessment in the context of the Criteria for the Reporting and Evaluation of Exposure Data approach for evaluating exposure monitoring data sets.Relevance is defined here as the degree of suitability or appropriateness of a data set to address a specific purpose that has been defined by the assessor, or for those generating exposure data.A clear purpose definition is the foundation for the relevance assessment, to clarify how the assessor should rate the assessment criteria (fully met, partly met, not met/inappropriate, not reported, not applicable).This approach provides transparency for anyone reviewing the outcomes, and an explicit gap analysis (i.e., an articulation of the data set limitations for the stated purpose) is an important outcome of the relevance assessment.