Data Management and Statistical Core

数据管理与统计核心

• 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
• 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' s Disease; Alzheimer' 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

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.

项目总结：数据管理与统计核心！