Data Core

数据核心

• 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
• 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

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.

数据核心的目的是将拟议的四个项目中的三个项目的数据活动集中起来， 自闭症卓越中心，“公共卫生和自闭症科学推进公平的战略， 生命历程（阶段）”，利用动态健康数据。拟议数据核心的设计有助于 汇集专业知识来获取、存储、管理和分析跨源的动态健康数据： 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、传播和外联阶段核心合作， 中心和项目的具体目标。对于所有数据源，数据核心将获取和存储所需的数据， 并根据每个项目进行定制，监督并遵守合规性和安全要求， 项目人员建设能力和执行分析任务。集中式数据核心可提高效率 在数据操作中，提高了研究的效率，特别是在数据源共享时， 数据专业知识，并增强和增加协作。数据核心与 传播和外展核心将包括强调数据可视化和其他创新 战略，以最大限度地提高跨阶段项目的研究成果的影响。数据核心将作为 集中联系并为Data Core员工提供统一的操作和数据分析，以部署任务 需要跨项目。数据核心的设计利用了人员和机构的独特专业知识 AJ德雷克塞尔自闭症研究所和德雷克塞尔大学的优势。请求数据分析的过程 由数据核心教师和工作人员从PHASES项目进行将建立能力，以推进整体 中心的目标是通过建立共享和适应性强的分析方法来提高公共卫生的影响。的 数据核心将由MPI Reneé摩尔博士和林赛谢伊博士领导。领导力的分配 数据核心的职责是基于MPI，教师和工作人员的专业知识。联合 领导提供了在PHASES项目的数据任务之间建立协同作用的机会。数据核心将 在现有自闭症研究所和大学基础设施的基础上进行跨研究合作;目标工作人员 开发以提高类似任务的效率并增强动态健康数据方面的专业知识 管理和分析;以及集中合规和管理工作。数据核心结合了 拥有动态健康数据专业知识的团队，拥有成熟的大学基础设施， 管理大规模数据，以确保顺利的分析操作和严谨的科学。