Data Management and Statistical Core

数据管理与统计核心

基本信息

批准号：
10203772
负责人：
HIROKO Hayama DODGE
金额：
$ 42.36万
依托单位：
OREGON HEALTH & SCIENCE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2025-02-28
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10203772
关键词：
Aged, 80 and over Alzheimer&apos s Disease Alzheimer&apos s Disease Core Center Area Award Biological Markers Biomedical Engineering Biometry Clinical Communities Computer software Consensus Consult Consultations Custom Data Data Files Database Management Systems Databases Dementia Detection Diagnosis Early Diagnosis Education Ensure Fostering Generations Goals Grant Health Insurance Portability and Accountability Act Home Information Distribution Institutional Review Boards International Internet Intranet Investigation Knowledge Leadership Mediating Medical Informatics Newsletter Oregon Play Procedures Research Research Personnel Research Project Grants Role Sampling Science Secure Source Specific qualifier value Statistical Data Interpretation Statistical Models Structure Technology Time Training aging brain authority collaborative environment data integrity data management data sharing dementia risk design digital effective therapy environmental enrichment for laboratory animals innovation meetings mild cognitive impairment neuroimaging neuropathology novel outreach prevent programs recruit repository response sensor success

项目摘要

Project Summary: Data Management and Statistical Core! The Data Management and Statistical Core (DMSC) is aligned to support the overall goal of the Oregon ADRC’s two overarching aims: (1) to focus on early detection of change in order to define mechanisms supporting healthy brain aging and the transition to MCI and early dementia, and (2) to facilitate developing effective therapies to prevent or mediate these transitions. Fostering research directed toward the pre-symptomatic to early MCI spectrum, risk factors of dementia among the oldest old and novel treatments, the OADC’s DMSC supports an array of distinct investigations ranging from statistical modeling of longitudinal biomarker data to real-time change detection through automated in- home activity sensor assessments. These activities advance OADRC research goals directed toward innovation and discovery in the areas of the pre-symptomatic to early Mild Cognitive Impairment (MCI) spectrum, risk factors of dementia among the oldest old and novel treatments. This research is optimally conducted as team science across multiple units, centers and departments including the biomedical engineering and medical informatics departments. In this exceptionally collaborative and interactive environment, the OADRC DMSC is required more than ever to ensure the integrity of the data coming from multiple sources and to provide prompt distribution of customized data files as well as statistically thoughtful and appropriate analyses and consultations for a wide range of researchers. Within this context and in response to the RFA, the DMSC’s Specific Aims are to: 1. Develop and maintain a functional longitudinal research database and share the data 2. Collaborate with the National Alzheimer’s Coordinating Center (NACC) and related centers 3. Provide biostatistical analyses and consultation 4. Provide an enriched environment that increases statistical knowledge for early-stage investigators, trainees and OADC affiliates.

项目摘要：数据管理和统计核心！数据管理和统计核心（DMSC）是一致的，以支持俄勒冈州的整体目标 ADRC的两个总体目的：（1）专注于早期发现变化以定义机制支持健康的大脑衰老以及向MCI和早期痴呆的过渡，以及（2）促进发展有效预防或介导这些过渡的疗法。促进针对症状前至早期MCI光谱的研究，痴呆症的危险因素 OADC的DMSC是最古老和最新颖的治疗方法，支持一系列独特的调查从纵向生物标志物数据的统计模型到通过自动化的实时变化检测家庭活动传感器评估。这些活动推进了针对的OADRC研究目标在症状前至早期认知障碍（MCI）的领域的创新和发现（MCI）频谱，最古老和最新颖的疗法中痴呆症的危险因素。这项研究是最佳的在包括生物医学在内的多个单位，中心和部门跨多个单位，中心和部门进行团队科学工程和医疗信息部门。在这个异常的协作和互动环境，OADRC DMSC比以往任何时候都更需要多个来源，并提供自定义数据文件以及统计周到的及时分发并为广泛的研究人员进行了适当的分析和咨询。在这种情况下和对RFA的响应，DMSC的具体目的是： 1。开发和维护功能纵向研究数据库并共享数据 2。与国家阿尔茨海默氏症协调中心（NACC）和相关中心合作 3。提供生物统计分析和咨询 4.提供丰富的环境，以增加早期研究人员的统计知识，学员和OADC分支机构。