# Core C: Data Management and Statistical Core

> **NIH NIH P30** · WAKE FOREST UNIVERSITY HEALTH SCIENCES · 2020 · $216,199

## Abstract

Data Management and Statistical Core (Core C) – Project Summary
The mission of Data Management and Statistical (DMS) Core is to promote excellence in the Wake Forest
ADCC by providing outstanding data management, biomedical computing, and analytical support to ADCC
investigators and affiliates. The Wake Forest ADCC has four overarching aims: 1) to establish a
comprehensive integrated research infrastructure at Wake Forest focused on identifying the causes of AD, and
on the potential prevention or treatment of AD; 2) to provide within this infrastructure specialized resources to
accelerate research on the hypothesis that metabolic and vascular factors contribute to AD pathogenesis and
on the development of novel interventions; 3) to optimize the participation of African American adults in
research and educational programs to better understand and treat the causes underlying the increased risk of
AD and dementia in the African American community; and 4) to provide education regarding AD and related
dementias to health professionals, researchers, afflicted adults and their families, and the community at large.
To accomplish these objectives, the DMS Core will 1) provide and maintain state-of-the-art resources for data
management, study management, and reporting to ensure the highest data quality and study integrity and to
increase the efficiency and impact of ADCC research; 2) provide expertise and collaboration in study design,
clinical trials, biostatistics and other analytical sciences (including measurement, image analysis, modeling,
computational biology, and biomathematics) to Wake Forest ADCC projects; 3) develop and maintain efficient
and secure platforms for the exchange of data within the Wake Forest ADCC and with NACC, NCRAD, other
ADCs, and AD researchers; 4) collaborate on the dissemination of Wake Forest ADCC study findings and the
engagement of targeted cohorts; and 5) mine our library of data from major studies of cognition and AD to
facilitate efficient study design, provide a platform for pooled analyses, and provide resources to facilitate the
development of AD researchers. The DMS Core has a breadth of relevant experience, a diverse analytical
team, a strong collaborative environment, many extant resources for study management, an extensive archive
of cognitive data from many major studies, and a proven robust data management infrastructure. These are all
essential facets and notable strengths of our proposed Wake Forest ADCC.

## Key facts

- **NIH application ID:** 9981585
- **Project number:** 5P30AG049638-05
- **Recipient organization:** WAKE FOREST UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** MARK Andrew ESPELAND
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $216,199
- **Award type:** 5
- **Project period:** — → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9981585

## Citation

> US National Institutes of Health, RePORTER application 9981585, Core C: Data Management and Statistical Core (5P30AG049638-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9981585. Licensed CC0.

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