# Core C - Data Management and Statistical Core

> **NIH NIH P30** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2024 · $502,328

## Abstract

ABSTRACT
This ADRC has comprehensive and demanding translational research objectives, for which the Data
Management and Statistical (DMS) Core must be able to efficiently collect, validate, integrate, and derive
meaning from a complex array of data. Our key questions about heterogeneity in dementia, as reflected in young-
onset and atypical AD/ADRD, require investigators to examine many complex relationships among clinical
features, natural history, interactions between genotype and phenotype, biomarkers, clinico-pathological
relationships, and connections between brain changes and neurobehavioral disturbances. These research
questions can only be fully addressed with sophisticated and comprehensive data structures, and with the
support of a cohesive team of expert statistical faculty. To facilitate this process, the DMS Core will incorporate
a number of innovative tools that will enable our researchers to better identify and integrate high-quality multilevel
data collected through this ADRC, while linking data with other resources at UCSF and beyond. Historically, the
UCSF Memory and Aging Center (MAC) has shown national leadership in developing neurology-specific data
management and analytic systems that integrate a wealth of information from a variety of sources in order to
better understand the etiology and treatment of dementia syndromes and promote translational research. This
DMS Core would be uniquely positioned to make a national impact on key NIH goals by making tools available
to the ADRC network that are designed to facilitate and accelerate the research process for investigators.
Furthermore, we have assembled a superb team of faculty from the Epidemiology and Biostatistics Department
who will provide high quality consultation concerning research design and analysis. Finally, with the help of the
REC Core, this DMS Core is committed to providing quality training and education in effective approaches to
both dataset generation and statistical analysis, not just for our early-career investigators but for ADRC-affiliated
researchers at all levels. Overall, this DMS Core will combine our center’s solid two-decade foundation of
excellent data management and UDS submission practices, with our innovative, custom-built tools enhancing
representation and analysis of multiple levels of neurological information, as well as experienced statistical
guidance that allows investigators to effectively model complex patterns and associations in our patients. We
have structured this DMS core to ensure that these exemplary data management and research methods are not
only successfully coordinated among the other multidisciplinary cores of this ADRC but are effectively taught to
our investigators, freeing them to pursue the answers that will most powerfully impact dementia research and
treatment.

## Key facts

- **NIH application ID:** 10868119
- **Project number:** 2P30AG062422-06
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** Katherine P Rankin
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $502,328
- **Award type:** 2
- **Project period:** 2019-05-01 → 2029-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10868119

## Citation

> US National Institutes of Health, RePORTER application 10868119, Core C - Data Management and Statistical Core (2P30AG062422-06). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10868119. Licensed CC0.

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