# Core C:  Data Management and Statistical Core

> **NIH NIH P30** · UNIVERSITY OF CALIFORNIA AT DAVIS · 2020 · $229,684

## Abstract

PROJECT SUMMARY ABSTRACT – Data Management and Statistics Core 
The Data Management and Statistics Core (DMSC) supports the mission of the UC Davis (UCD) Alzheimer's 
Disease Center (ADC) by maintaining a secure, central database; providing statistical analysis of the complex 
longitudinal data; and collaborating closely with the other Cores and investigators on research and mentoring. 
The DMSC team is internationally recognized for intellectual leadership that contributes to scientific advances, 
collaborations, and education and training. 
Key DMSC innovations in the current grant cycle (07/11–06/16) have included: 1) Refinement and expansion 
of the functionality of the state-of-the art database management system (Lava) that was developed and is 
maintained and extended through a cross-ADC collaboration. 2) Application of reproducible research principles 
and methods to dynamically generate reports that integrate database, data analysis, and written and graphic 
presentation of results. 3) Implementation of parallel process longitudinal models for correlated outcomes and 
predictors. 4) Development of analytic methods for high dimension imaging and biomarker data. 5) Creation of 
latent variable models to define, measure, and capture dynamic change in complex but important constructs 
like cognitive and functional reserve. 6) Statistical harmonization of cognitive test batteries to enable merging 
of datasets from different studies. 7) Local, national, and international leadership in collaborative science 
efforts and in training the next generation of researchers. 
In the next grant cycle, the DMSC will help to advance our understanding of factors that influence 
heterogeneity of cognitive trajectories across the spectrum from normal cognition through mild cognitive 
impairment and into dementia in four areas. 1) We will oversee data management for the UCD ADC and its 
Cores, providing a secure web-based central resource. 2) We will carry out statistical analyses for 
interdisciplinary ADC research on pathogenesis, diagnosis, treatment, and prevention of age-related 
degenerative disease. 3) We will develop new statistical methodology as needed to support the analysis of 
ADC's complex data. 4) We will work closely with the Research Education Component to mentor and train the 
next generation of AD researchers in study design, analysis, and presentation of results.

## Key facts

- **NIH application ID:** 9978578
- **Project number:** 5P30AG010129-30
- **Recipient organization:** UNIVERSITY OF CALIFORNIA AT DAVIS
- **Principal Investigator:** Kumar B. Rajan
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $229,684
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9978578

## Citation

> US National Institutes of Health, RePORTER application 9978578, Core C:  Data Management and Statistical Core (5P30AG010129-30). Retrieved via AI Analytics 2026-05-29 from https://api.ai-analytics.org/grant/nih/9978578. Licensed CC0.

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