# Core C: Data Management and Statistics Core

> **NIH NIH P30** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2023 · $454,818

## 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 diagnosis, clinical features, natural history,
interactions between genotype and phenotype, biomarkers, clinico-pathological relationships, and connections
between brain changes and neurobehavioral disturbances can only be 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. Finally, we have assembled a
superb team of faculty from the Epidemiology and Biostatistics Department who will provide high quality
analytic consultation and education for our investigators. Overall, this DMS Core will combine our center’s solid
two-decade foundation of excellent data management and UDS submission practices, with 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 core ensure that these exemplary data management and research methods are effectively
coordinated among the multidisciplinary cores of this ADRC, freeing investigators to pursue the answers that
will most powerfully impact dementia research and treatment.

## Key facts

- **NIH application ID:** 10647906
- **Project number:** 5P30AG062422-05
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** Katherine P Rankin
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $454,818
- **Award type:** 5
- **Project period:** 2019-05-01 → 2024-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10647906

## Citation

> US National Institutes of Health, RePORTER application 10647906, Core C: Data Management and Statistics Core (5P30AG062422-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10647906. Licensed CC0.

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