Human Health Exposure Analysis Resource (HHEAR) Data Center

项目摘要 人类健康暴露分析资源（HHEAR）提供了校外研究社区 获得实验室和统计分析，以增加或扩大环境接触的范围， research.通过这些努力，HHEAR数据中心的目标是成为 环境健康社区，最大限度地发挥环境暴露的潜在使用、再利用和影响 数据作为该计划的一个组成部分，创建了HHEAR数据存储库，以存储生成的所有数据 由HHEAR研究者提供，用于HHEAR实验室内的流行病学和暴露研究。 HHEAR网络。该存储库的主要优势是高质量测量的广度， 环境健康数据，将不同的数据集统一为通用词汇表， 可以保存、存储和在用户之间共享的下载。为了增强存储库的现有 能力，我们提出了两个具体目标，以提高使用，效用和影响的HHEAR数据 仓库。首先，我们将加强HHEAR数据存储库与FAIR（Findability， 可访问性、互操作性和可重用性）数据原则和数据的理想特征 由美国国立卫生研究院详细描述的储存库。然后，我们将制定和实施评估 这些指标旨在符合公平数据原则。这些指标将监测使用情况、效用和影响， 以促进HHEAR数据存储库的整个生命周期的持续改进。到 构建我们的增强计划，我们对存储库进行了自我评估，以评估其公平性， 现有评价指标的理想特性和效用。这些自我评估显示， 描述数据生成过程和数据集详细出处的机器可读元数据 来自HHEAR研究。增加元数据的可访问性，可能通过元数据探索器或 应用程序编程接口被确定为另一个增强目标。此外，自- 通过评估，认识到需要进行用户调查，以扩大现有的使用指标， 监控HHEAR数据存储库中的访问和下载。我们提出明确的里程碑， 在补充期间实施这些和其他计划的改进。通过增加与 FAIR数据原则和HHEAR存储库的扩展评估指标，我们将能够 最大限度地提高HHEAR计划对科学界的利益，并为以下方面提供数据基础设施： 下一代麻烦的科学

PROJECT SUMMARY The Human Health Exposure Analysis Resource (HHEAR) provides the extramural research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research. Through these efforts, the HHEAR-Data Center aims to be a data science resource for the environmental health community, maximizing the potential use, reuse and impact of environmental exposure data. An integral part of this initiative, the HHEAR Data Repository was created to house all data generated within HHEAR labs and provided by HHEAR investigators for epidemiologic and exposure studies within the HHEAR network. Key strengths of this repository are the breadth of high-quality measurements of environmental health data, harmonization of disparate datasets to a common vocabulary and customized downloads that can be saved, stored and shared among users. To augment the Repository’s existing capabilities, we propose two specific aims to enhance the use, utility and impact of the HHEAR Data Repository. First, we will enhance the alignment of the HHEAR Data Repository with the FAIR (Findability, Accessibility, Interoperability and Reusability) Data Principles and the desirable characteristics of data repositories detailed by the National Institutes of Health. We will then develop and implement evaluation metrics designed to align with the FAIR Data Principles. These metrics will monitor use, utility and impact in order to stimulate continuous improvement throughout the lifecycle of the HHEAR Data Repository. To construct our enhancement plan, we conducted self-assessments of the Repository to evaluate its FAIR-ness, desirable characteristics and utility of existing evaluation metrics. These self-assessments revealed gaps in machine-readable metadata to describe the data-generating processes and detailed provenance of datasets from HHEAR studies. Increasing accessibility to metadata, potentially through metadata explorers or application programming interfaces, was identified as another target for enhancement. In addition, self- assessments led to a recognized need for user surveys to augment existing usage metrics generated by monitoring access and downloads within the HHEAR Data Repository. We propose clear milestones to implement these and other planned enhancements during the supplement period. By increasing alignment with the FAIR data principles and expanding evaluation metrics of the HHEAR Repository, we will be able to maximize the benefit of the HHEAR program to the scientific community and provide the data infrastructure for the next generation of exposome science.