Data Management and Statistical Core

数据管理与统计核心

基本信息

批准号：
10369036
负责人：
HIROKO Hayama DODGE
金额：
$ 44.74万
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/10369036
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.

项目概要：数据管理与统计核心！数据管理和统计核心 (DMSC) 旨在支持俄勒冈州的总体目标 ADRC 的两个总体目标：(1) 注重早期发现变化以定义机制支持健康的大脑老化以及向 MCI 和早期痴呆的过渡，以及 (2) 促进发展预防或介导这些转变的有效疗法。促进针对症状前到早期 MCI 谱系、痴呆症危险因素的研究作为最古老和新颖的治疗方法，OADC 的 DMSC 支持一系列不同的研究，包括从纵向生物标志物数据的统计建模到通过自动化的实时变化检测这些活动推动了 OADRC 的研究目标。症状前到早期轻度认知障碍 (MCI) 领域的创新和发现这项研究是最佳的。作为跨多个单位、中心和部门（包括生物医学部门）的团队科学进行工程和医学信息学部门在这个异常协作和互动的地方。环境中，OADRC DMSC 比以往任何时候都更需要确保来自以下位置的数据的完整性多个来源并提供定制数据文件的及时分发以及专业的考虑并在此背景下为广大研究人员提供适当的分析和咨询。作为对 RFA 的回应，DMSC 的具体目标是： 1. 开发和维护功能性纵向研究数据库并共享数据 2. 与国家阿尔茨海默病协调中心（NACC）及相关中心合作 3. 提供生物统计分析和咨询 4. 提供丰富的环境，为早期研究人员增加统计知识，学员和 OADC 附属机构。