U.S. Environmental Protection Agency, Center for Computational Toxicology and Exposure, 109 T.W. Alexander Drive, Research Triangle Park, NC, 27709, USA.
ICF International, 2635 Meridian Pkwy #200, Durham, NC, 27713, USA.
Sci Data. 2022 Jun 16;9(1):314. doi: 10.1038/s41597-022-01365-8.
Direct monitoring of chemical concentrations in different environmental and biological media is critical to understanding the mechanisms by which human and ecological receptors are exposed to exogenous chemicals. Monitoring data provides evidence of chemical occurrence in different media and can be used to inform exposure assessments. Monitoring data provide required information for parameterization and evaluation of predictive models based on chemical uses, fate and transport, and release or emission processes. Finally, these data are useful in supporting regulatory chemical assessment and decision-making. There are a wide variety of public monitoring data available from existing government programs, historical efforts, public data repositories, and peer-reviewed literature databases. However, these data are difficult to access and analyze in a coordinated manner. Here, data from 20 individual public monitoring data sources were extracted, curated for chemical and medium, and harmonized into a sustainable machine-readable data format for support of exposure assessments.
直接监测不同环境和生物介质中的化学浓度对于理解人类和生态受体接触外源化学物质的机制至关重要。监测数据提供了不同介质中化学物质存在的证据,并可用于为暴露评估提供信息。监测数据为基于化学用途、命运和传输以及释放或排放过程的预测模型的参数化和评估提供了所需的信息。最后,这些数据有助于支持监管化学评估和决策制定。现有政府计划、历史努力、公共数据存储库和同行评议文献数据库中提供了各种公共监测数据。然而,这些数据难以以协调的方式访问和分析。在这里,从 20 个单独的公共监测数据源中提取数据,针对化学物质和介质进行整理,并协调成一种可持续的机器可读数据格式,以支持暴露评估。