Human Health Exposure Analysis Resource (HHEAR) Data Center

人类健康暴露分析资源 (HHEAR) 数据中心

• 批准号: 10595949
• 负责人: SUSAN L TEITELBAUM
• 金额: $ 25.16万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10595949
• 关键词: Administrative Supplement; Characteristics; Communities; Community Health; Custom; Data; Data Set; Development; Environmental Exposure; Environmental Health; Environmental Impact; Epidemiology; Evaluation; Extramural Activities; FAIR principles; Foundations; Goals; Health; Human; Laboratories; Measurement; Metadata; Monitor; Positioning Attribute; Preparation; Process; Readability; Research; Research Personnel; Resources; Science; Self Assessment; Statistical Data Interpretation; Surveys; United States National Institutes of Health; Vocabulary; application programming interface; data centers; data harmonization; data infrastructure; data repository; data resource; data reuse; data science resource; design; next generation; programs; repository

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.

项目概要 人类健康暴露分析资源 (HHEAR) 为校外研究社区提供服务 获得实验室和统计分析的机会，以增加或扩大将环境暴露纳入其研究范围 研究。通过这些努力，HHEAR 数据中心旨在成为数据科学资源 环境健康社区，最大限度地提高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 数据存储库来存储生成的所有数据 在 HHEAR 实验室内，由 HHEAR 研究人员提供，用于流行病学和暴露研究 赫赫网络。该存储库的主要优势是高质量测量的广度 环境健康数据，将不同数据集协调为通用词汇和定制 可以保存、存储并在用户之间共享的下载内容。扩大存储库的现有 能力，我们提出了两个具体目标来增强 HHEAR 数据的使用、效用和影响 存储库。首先，我们将增强 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 美国国立卫生研究院详细介绍的存储库。然后我们将制定并实施评估 旨在符合公平数据原则的指标。这些指标将监控使用情况、效用和影响 为了促进 HHEAR 数据存储库整个生命周期的持续改进。到 制定我们的增强计划，我们对存储库进行了自我评估，以评估其公平性， 现有评估指标的理想特征和效用。这些自我评估揭示了以下方面的差距 机器可读的元数据来描述数据生成过程和数据集的详细来源 来自 HHEAR 研究。可能通过元数据浏览器或 应用程序编程接口被确定为另一个增强目标。此外，自 评估导致人们认识到需要进行用户调查，以增强由 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增强功能。通过增加与 通过 HHEAR 存储库的 FAIR 数据原则和扩展评估指标，我们将能够 最大限度地提高 HHEAR 计划为科学界带来的利益，并为以下领域提供数据基础设施： 下一代暴露科学。