Data Management and Analysis Core

数据管理与分析核心

• 批准号: 10559544
• 负责人: Emily Hohmeiser Griffith
• 金额: $ 16.74万
• 依托单位: NORTH CAROLINA STATE UNIVERSITY RALEIGH
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-03 至 2025-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10559544
• 关键词: Address; Bioinformatics; Biological Assay; Center for Translational Science Activities; Collaborations; Communication; Computer software; Computing Methodologies; Data; Data Analyses; Data Collection; Data Coordinating Center; Data Management Resources; Data Science; Data Scientist; Databases; Dedications; Derivation procedure; Development; Documentation; Elements; Environmental Health; Experimental Designs; Extravasation; FAIR principles; Family; Fostering; Goals; Health; Human Resources; Individual; Interdisciplinary Communication; Leadership; Learning; Methods; Modeling; Monitor; Ontology; Poly-fluoroalkyl substances; Process; Public Health; Publishing; Quality Control; Reproducibility; Research; Research Personnel; Resources; Running; Sampling; Science; Scientist; Signal Recognition Particle; Solid; Standardization; Structure; Superfund; Training; Training Activity; Visual; Visualization; Work; cheminformatics; computational toxicology; computer infrastructure; computerized tools; computing resources; data access; data exchange; data integration; data interoperability; data management; data quality; data sharing; data standards; data streams; design; environmental chemical; experience; member; next generation; novel; prevent; programs; quality assurance; software development; translational impact; user-friendly; vulnerable community

ABSTRACT DMAC The Data Management and Analysis Core (DMAC) of our NC State SRP Center proposal is designed to integrate results from all data streams into a true synthesis that advances environmental and public health related to per- and polyfluoroalkyl substances (PFAS). The first activity (Specific Aim) of the DMAC in establishing Center-wide data management and integration was the development of a Comprehensive Data Management Plan (cDMP). The cDMP was designed to instantiate FAIR (Findable, Accessible, Interoperable, Reusable) principles in managing Center data and was used for the coordinated development of individual project/core DMPs. A key element of our cDMP is the derivation of an ontology of data types, which recognizes that data have common elements that cross disciplinary (as well as project-specific) boundaries. This formalization of connections between nominally different data streams and assignment of individual points-of-contact for each type will establish the DMAC as a resource for operationalizing data integration. Subsequent DMAC Specific Aims establish processes for monitoring data analysis, coordinate analysis through shared data structures and associated software, provide means for visualization and sharing of results, and coordinate data-centric training activities. Thus, the DMAC will enable synthesis not possible from singular Projects/Cores alone, through coordination amongst projects and cores, fostering data sharing and interoperability, and providing formal data quality assurance and quality control.

抽象的 DMAC 我们的NC州SRP中心提案的数据管理和分析核心（DMAC）旨在整合 从所有数据流的结果中的结果成为真正的综合，该综合促进了环境和公共卫生的综合健康 和多氟烷基物质（PFA）。 DMAC在范围内建立DMAC的第一个活动（特定目的） 数据管理和集成是综合数据管理计划（CDMP）的制定。 CDMP旨在实例化公平（可访问，可互操作，可重复使用）原则 管理中心数据，并用于个人项目/核心DMP的协调开发。钥匙 我们CDMP的元素是数据类型本体的推导，它认识到数据具有常见 跨学科（以及特定于项目的）边界的要素。连接的形式化 在名义上不同的数据流和每种类型的单个接触点的分配之间 建立DMAC作为操作数据集成的资源。随后的DMAC特定目标 建立用于监视数据分析的过程，通过共享数据结构进行协调分析和 相关软件，提供可视化和共享结果的手段，并协调以数据为中心的培训 活动。因此，DMAC将通过单独的项目/核心不可能通过 项目和核心之间的协调，促进数据共享和互操作性，并提供正式数据 质量保证和质量控制。