Data Repository and Management Core

数据存储和管理核心

• 批准号: 10684793
• 负责人: Patricia Kovatch
• 金额: $ 91.47万
• 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 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10684793
• 关键词: Acceleration; Address; Big Data; Child Health; Collaborations; Collection; Communities; Computer software; Data; Data Aggregation; Data Analyses; Data Analytics; Data Science; Data Set; Deposition; Descriptor; Documentation; Economic Models; Eligibility Determination; Ensure; Environmental Exposure; Environmental Health; FAIR principles; Future; General Population; Generations; Guidelines; Health; Health Insurance Portability and Accountability Act; Human; Individual; Infrastructure; Ingestion; Intuition; Laboratories; Life; Life Cycle Stages; Maps; Metadata; Modernization; Policies; Procedures; Process; Productivity; Reporting; Reproducibility; Research; Research Personnel; Resources; Retrieval; Role; Sample Size; Scientific Advances and Accomplishments; Secure; Security; Self Direction; Semantics; Services; Training; United States National Institutes of Health; Visualization software; Vocabulary; Work; analytical method; analytical tool; data access; data centers; data harmonization; data integrity; data management; data portal; data repository; data resource; data reuse; data sharing; data standards; data submission; data visualization; design; experience; federated data; flexibility; genome wide association study; implementation process; interoperability; large datasets; metabolomics; multimodal data; programs; quality assurance; query tools; social media; study population; tool; usability; user-friendly; webinar

DATA REPOSITORY AND MANAGEMENT CORE PROJECT SUMMARY The Data Repository and Management Core (DRMC) will advance scientific understanding of environmental exposures by expanding our successful CHEAR Data Center (DC) data portal and repository to encompass humans at all life stages. Our proposed HHEAR DC data portal and repository, along with our effective user support team, will help researchers add comprehensive exposure analysis to their studies. Our demonstrated commitment to FAIR principles and our unique harmonized data sets will enhance research productivity and general public understanding by (1) providing access to cleaned and harmonized data and larger data sets for greater statistical power and maximal reuse; (2) interoperating with relevant national data sets such as the Metabolomics Workbench, ECHO, and others to facilitate data submission of new data types; and (3) facilitating access to modern collaborative data analysis tools such as Jupyter notebooks and Google's Colaboratory. We will employ best practices for high reliability and security and follow HIPAA guidelines. To develop effective and focused infrastructure, services, and processes tailored for the CHEAR community, our interdisciplinary team developed strong partnerships with the Coordinating Center (CC), the Lab Network, the ECHO DC, the Metabolomics Workbench, and others. These relationships, along with our existing CHEAR infrastructure, singular expertise, and established processes, will carry over to the creation of the HHEAR DC and will help accelerate its rollout. These services will give the HHEAR community the ability to discover new correlations and relationships between multi-scale and multimodal data sets, thus progressing toward the promise of big data to help solve the major challenges of human environmental health research across the lifecourse. Combining data from a set of individual studies would likely require substantial work if it were attempted without resources similar to those of the HHEAR DMRC; the design of the data repository will facilitate manageable and efficient combining of existing data sets; the availability of common vocabularies developed by the DSR will contribute to maximizing the usable data from each study; and the SSAR will ultimately receive a dataset to which they can apply their exposome-related analytic methods to address hypotheses on the environmental health of the pooled study population. Our state-of-the-art DRMC has been fulfilling these roles within the CHEAR program, and will build on and extend our capabilities as the HHEAR DC. In sum, leveraging our existing infrastructure and expertise will overcome the need for a long implementation process fraught with challenges — we have already encountered and overcome many such challenges in implementing the CHEAR DC, and will be able to flexibly respond to the needs of HHEAR Network.

数据储存和管理核心项目摘要 数据存储库和管理核心（DRMC）将促进对环境的科学理解。 通过扩展我们成功的CHEMICAL数据中心（DC）数据门户和存储库， 人类在各个生命阶段。我们建议的HHEAR DC数据门户和存储库，以及我们的有效用户沿着 支持团队将帮助研究人员在他们的研究中增加全面的暴露分析。我们的示范 对公平原则的承诺和我们独特的协调数据集将提高研究生产力， （1）提供获得经过清理和统一的数据以及更大的数据集的途径， 更大的统计能力和最大限度的重用;（2）与相关国家数据集（例如 代谢组学研究中心、ECHO和其他机构，以促进新数据类型的数据提交;以及（3） 方便使用现代协作数据分析工具，如Google的 合作实验室。我们将采用最佳实践来实现高可靠性和安全性，并遵循HIPAA准则。到 开发有效的和有针对性的基础设施，服务和流程为CHEMICAL社区量身定制，我们的 跨学科团队与协调中心（CC），实验室网络， ECHO DC，代谢组学，和其他。这些关系，沿着我们现有的CHEMICAL 基础设施、独特的专业知识和既定的流程将延续到HHEAR DC的创建 并将有助于加速其推广。这些服务将使HHEAR社区能够发现新的 多尺度和多模态数据集之间的相关性和关系，从而朝着 大数据的承诺，以帮助解决整个人类环境健康研究的主要挑战 生命历程如果是这样的话，将一组单独研究的数据结合起来可能需要大量的工作。 在没有类似于HHEAR DMRC的资源的情况下尝试;数据存储库的设计将 便于管理和有效地合并现有数据集;提供共同词汇 由DSR开发的将有助于最大限度地利用每项研究的可用数据; SSAR将 最终收到一个数据集，他们可以应用他们的麻烦相关的分析方法来解决 关于合并研究人群环境健康的假设。我们最先进的DRMC 在CHEARS计划中履行这些角色，并将建立和扩展我们作为HHEAR的能力 DC.总之，利用我们现有的基础设施和专业知识， 执行过程充满挑战-我们已经遇到并克服了许多这样的挑战， 在实施CHELDC的挑战，并将能够灵活地响应HHEAR的需求 网络