Data Core

数据核心

基本信息

批准号：
10523862
负责人：
Lindsay Lawer Shea
金额：
$ 59.33万
依托单位：
DREXEL UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-06 至 2027-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10523862
关键词：
Address Adolescent Age Area Autism Diagnosis Caring Centers for Disease Control and Prevention (U.S.)Cessation of life Characteristics Childhood Clinical Code Collaborations Communication Communities Complex Custom Data Data Analyses Data Collection Data Linkages Data Security Data Set Data Sources Data Store Development Doctor of Philosophy Elderly Electronic Health Record Ensure Faculty Foundations Goals Health Health Policy Human Resources Individual Information Systems Infrastructure Institutes Joints Knowledge Leadership Life Cycle Stages Medicaid Medicare claim Mental Health Outcome Patients Policies Population Population Heterogeneity Process Provider Public Health Research Research Project Grants Resources Risk Safety Science Services Shapes Site Source Staff Development Standardization Statistical Data Interpretation Strategic Planning Structure System Toddler United States Centers for Medicare and Medicaid Services United States Health Resources and Services Administration United States National Institutes of Health Universities autism spectrum disorder base cohesion complex data data acquisition data management data structure data visualization data warehouse design experience health data health inequalities improved indexing innovation large scale data marginalized population mortality novel operation outreach programs screening service utilization success synergism tool young adult

项目摘要

The purpose of the Data Core is to centralize data activities across three of the four Projects of the proposed Autism Center of Excellence, “Public Health and Autism Science advancing Equitable Strategies across the life course (PHASES)” that utilize dynamic health data. The design of the proposed Data Core facilitates the confluence of expertise to acquire, store, manage, and analyze dynamic health data across sources: electronic health records (EHR), national administrative claims, mortality data, and small area contextual data. The Data Core will provide across- and within-project data management, collaboration, and statistical expertise, and partner with the Administrative and Dissemination and Outreach PHASES Cores to advance the Center and project-specific aims. For all data sources, the Data Core will acquire and store data required for and customized to each project, oversee and adhere to compliance and safety requirements, and engage Project personnel to build capacity for and execute analytic tasks. A centralized Data Core facilitates efficiency in data operations, increases efficiency across studies especially when data sources are shared, concentrates data expertise, and enhances and increases collaboration. Linkages between the Data Core and the Dissemination and Outreach Core will include an emphasis on data visualization and other innovative strategies to maximize the impact of research findings across PHASES projects. The Data Core will act as a central contact and provide Data Core staff with unified operations and data analyses to deploy the tasks required across projects. Design of the Data Core leverages unique expertise of personnel and institutional strengths of the AJ Drexel Autism Institute and Drexel University. The process for requests for data analyses conducted by Data Core faculty and staff from PHASES Projects will build capacity to advance the overall Center aims and advance public health impact by building shared and adaptable analytic approaches. The Data Core will be led by MPIs Reneé Moore, PhD, and Lindsay Shea, DrPH. The distribution of leadership responsibilities of the Data Core is based upon the expertise of the MPIs, faculty, and staff. The joint leadership provides opportunities to build synergy across data tasks of PHASES projects. The Data Core will build upon existing Autism Institute and University infrastructure to collaborate across studies; target staff development to increase efficiency across similar tasks and enhance expertise in dynamic health data management and analysis; and centralize compliance and management efforts. The Data Core combines a team with dynamic health data expertise with an established university infrastructure for safe storage and management of large-scale data to ensure smooth analytic operations and rigorous science.

数据核心的目的是集中拟议项目的四个项目中的三个的数据活动自闭症卓越中心，“公共卫生和自闭症科学推进跨领域的公平战略所提出的数据核心的设计促进了“生命历程（阶段）”。汇集专业知识来获取、存储、管理和分析跨来源的动态健康数据：电子健康记录 (EHR)、国家行政索赔、死亡率数据和小区域背景数据。数据核心将提供跨项目和项目内的数据管理、协作和统计专业知识，并与行政、传播和外展阶段核心合作，推进对于所有数据源，数据核心将获取和存储所需的数据。并针对每个项目进行定制，监督并遵守合规性和安全要求，并参与项目人员建立分析任务的能力并执行分析任务可提高效率。在数据操作中，提高研究效率，特别是当数据源共享时，集中数据专业知识，并增强和增强数据核心与外部之间的联系。传播和外展核心将包括强调数据可视化和其他创新最大限度地发挥各阶段项目研究成果影响的策略数据核心将充当集中联络，为Data Core人员提供统一操作和数据分析，部署任务数据核心的设计利用了人员和机构的独特专业知识。 AJ 德雷塞尔自闭症研究所和德雷塞尔大学的优势数据分析请求流程。由 PHASES 项目的数据核心教职人员进行的项目将建设能力，以推进整体该中心旨在通过建立共享且适应性强的分析方法来促进公共卫生影响。数据核心将由 MPI Reneé Moore 博士和 Lindsay Shea 博士领导。数据核心的职责基于 MPI、教职员工的专业知识。领导力提供了在阶段项目的数据任务之间建立协同作用的机会。以现有自闭症研究所和大学基础设施为基础，开展跨研究合作；开发以提高类似任务的效率并增强动态健康数据的专业知识管理和分析；以及集中合规性和管理工作。团队拥有动态健康数据专业知识，拥有成熟的大学基础设施，可安全存储和管理大规模数据，确保分析操作顺利、科学严谨。