# Data Management and Statistical Core

> **NIH NIH P30** · OREGON HEALTH & SCIENCE UNIVERSITY · 2024 · $423,627

## Abstract

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.

## Key facts

- **NIH application ID:** 10791909
- **Project number:** 5P30AG066518-05
- **Recipient organization:** OREGON HEALTH & SCIENCE UNIVERSITY
- **Principal Investigator:** HIROKO Hayama DODGE
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $423,627
- **Award type:** 5
- **Project period:** 2020-07-01 → 2025-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10791909

## Citation

> US National Institutes of Health, RePORTER application 10791909, Data Management and Statistical Core (5P30AG066518-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10791909. Licensed CC0.

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