Core D: Data Management and Modeling Core

核心 D：数据管理和建模核心

• 批准号: 9926976
• 负责人: DAVID R KAELI
• 金额: $ 35.03万
• 依托单位: NORTHEASTERN UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9926976
• 关键词: Adherence; Affect; Assessment tool; Attention; Awareness; Back; Big Data; Biological; Biometry; Birth Rate; Chemicals; Collaborations; Collection; Communities; Computer software; Custom; Data; Data Analyses; Data Collection; Data Protection; Data Set; Database Management Systems; Databases; Detection; Dictionary; Ecology; Education; Ensure; Environmental Pollution; Environmental Risk Factor; Epidemiology; Equipment and supply inventories; Fostering; Future; Geographic Information Systems; Geography; Goals; Guidelines; Health; Health Insurance Portability and Accountability Act; Imagery; Individual; Infrastructure; Institutional Review Boards; Maps; Modeling; Molecular Epidemiology; Outcome; Play; Premature Birth; Privacy; Procedures; Process; Protocols documentation; Publications; Puerto Rico; Reporting; Research; Research Personnel; Role; Sampling; Secure; Security; Source; Statistical Data Interpretation; Structure; Techniques; Technology; Toxicology; Training; Training and Education; Translational Research; Work; base; cost; data management; data mining; data modeling; data visualization; data warehouse; epidemiology study; exposure pathway; ground water; human subject; indexing; innovation; phthalates; programs; remediation; repository; tool; user-friendly

PROJECT SUMMARY The Data Management and Modeling Core (Core D) plays a critical role in achieving the Center objectives by serving as a central repository of Center data and provides for cross-indexing of the diverse data sets produced by the environmental and biomedical projects and cores in the Center. An additional role of Core D is to ensure the reliability of the data, including cleaning, replication and backup, as well as the protection of the data, including de-identification of human subjects, and secure and authenticated access. Core D allows data generated by the projects to be cross-indexed by all projects based on a global PROTECT Data Dictionary that includes common index fields (subject ID, GIS coordinates) to foster sharing and integration. Core D also provides a rich set of modeling and statistical analysis toolsets to support Project-level objectives. The combined collection of data and tools allows PROTECT to work seamlessly across project domains and effectively ties environmental factors to human subject outcomes. Finally, Core D is leveraging state-of-the-art in search-based technologies that have been developed at Google to support search and Data Mining. To support Center goals and ensure its long-term impact, we will continue to build upon the rich infrastructure developed in the first three years of this Center. We have partnered with EarthSoft, a major developer of environmental data management software, to provide enhanced database capabilities appropriate for all Center projects. We will continue to support cleaning, indexing, documenting, and security of all Center-based data through a secure, online, database system. To allow data to be analyzed by each project, we will provide advanced statistical/analysis tools integrated into the backend of the database system. Specifically, we will work with Project 1 to incorporate appropriate biostatistics tools, with Project 2 to integrate toxicological data, with Project 3 to assist in nontargeted detection, with Project 4 to utilize appropriate environmental assessment tools and Geographic Information System (GIS), and with Project 5 to integrate and model remediation field data. To allow the data in the center to be easily understood by a range of communities, we are integrating mapping and data visualization capabilities and enabling effective dissemination of data to a broad audience. To achieve our Center-level objectives that tie environmental factors to health-related outcomes, Core D provides Data Mining, modeling and analysis for all projects by leveraging state-of-the-art computing capabilities. Core D provides a suite of Data Mining tools that go well beyond standard statistical techniques. Finally, we will work closely with the Community Engagement Core, Training and Research Translation cores to generate mapping and statistical information required by our partner cores to foster awareness, research translation, education, and high quality publications.

项目摘要 数据管理和建模核心（核心D）在实现中心目标方面起着至关重要的作用 作为中心数据的中央存储库，并提供了不同数据集的交叉索引 由中心的环境和生物医学项目和核心生产。核心D的另一个角色是 确保数据的可靠性，包括清洁，复制和备份以及保护 数据，包括去识别人类受试者以及安全和身份验证的访问。核心D允许数据 由项目生成的所有项目都基于全球保护数据字典来交叉索引 包括通用索引字段（主题ID，GIS坐标）以促进共享和集成。核心D也是 提供了丰富的建模和统计分析工具集，以支持项目级别的目标。这 数据和工具的组合收集允许保护可以在项目域和 有效地将环境因素与人类主题结果联系起来。最后，核心D正在利用最新的 在Google开发的基于搜索的技术中，以支持搜索和数据挖掘。 为了支持中心目标并确保其长期影响，我们将继续建立富裕基础设施 在该中心的前三年开发。我们与Earthsoft合作，Earthsoft是 环境数据管理软件，以提供适合所有人的增强数据库功能 中心项目。我们将继续支持所有基于中心的清洁，索引，记录和安全性 通过安全，在线，数据库系统数据。为了允许每个项目分析数据，我们将提供 高级统计/分析工具集成到数据库系统的后端。具体来说，我们会的 与项目1合作，将适当的生物统计学工具与项目2合并以整合毒理学数据， 使用项目3来协助非目标检测，并使用项目4来利用适当的环境评估 工具和地理信息系统（GIS），以及项目5以整合和模型补救字段 数据。为了使中心的数据可以轻松地由一系列社区理解，我们正在整合 映射和数据可视化功能，并可以向广泛的受众传播数据。 为了实现将环境因素与与健康相关结果联系起来的中心级别目标，核心D 通过利用最先进的计算来为所有项目提供数据挖掘，建模和分析 功能。核心D提供了一套数据挖掘工具，这些工具远远超出了标准统计技术。 最后，我们将与社区参与核心，培训和研究翻译核心紧密合作 为了生成我们的合作伙伴核心所需的映射和统计信息，以促进意识，研究 翻译，教育和高质量出版物。