Human Health Exposure Analysis Resource (HHEAR) Data Center

项目总结 人类健康暴露分析资源(HHEAR)提供校外研究社区 获得实验室和统计分析，以增加或扩大环境暴露在其 研究。通过这些努力，HHEAR-数据中心的目标是成为 环境健康社区，最大限度地利用、再利用和影响环境暴露 数据。HHEAR数据存储库是这项倡议的一个组成部分，其创建目的是存储所有生成的数据 在HHEAR实验室内，并由HHEAR调查人员提供，用于在 他的网络。此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到通用词汇表和定制 可以保存、存储和在用户之间共享的下载。要增强存储库的现有 为了增强HHEAR数据的使用、效用和影响，我们提出了两个具体目标 存储库。首先，我们将加强HHEAR数据存储库与公平(可发现性、 可访问性、互操作性和可重用性)数据原则和数据的可取特性 由美国国立卫生研究院详细介绍的资料库。然后，我们将制定和实施评估 旨在与公平数据原则保持一致的指标。这些指标将在以下方面监控使用情况、效用和影响 以促进在HHEAR数据存储库的整个生命周期中的持续改进。至 构建我们的增强计划，我们对存储库进行了自我评估，以评估其公正性， 现有评价指标的可取特征和实用性。这些自我评估揭示了 机器可读的元数据，用于描述数据生成过程和数据集的详细来源 来自他的研究。提高元数据的可访问性，可能是通过元数据资源管理器或 应用程序编程接口被确定为另一个需要加强的目标。此外，自我- 评估导致了对用户调查的公认需求，以增强由生成的现有使用指标 监控HHEAR数据存储库中的访问和下载。我们提出了明确的里程碑，以 在补充期内实施这些和其他计划的增强。通过增加与 HHEAR存储库的公平数据原则和不断扩展的评估指标，我们将能够 最大限度地使HHEAR计划惠及科学界，并为以下方面提供数据基础设施 下一代曝光科学。

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.