# Data Management and Statistical Core

> **NIH NIH P30** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2021 · $456,067

## Abstract

ABSTRACT- DATA MANAGEMENT & STATISTICS (DMS) CORE
The Data Management and Statistical (DMS) Core supports the NYU Alzheimer's Disease Research Center
(ADRC) and its Cores by providing state-of-the-art data and information management and statistical expertise.
The DMS Core aims to provide cutting edge research data management (AIM 1), by providing a customized,
comprehensive and scalable data acquisition and management platform in REDCap and provide scalable
technologies like Tableau for data visualization. The core will maintain unique linkages between the participants
and their data captured from other core's activities and from various collaborative/ affiliated studies, including
incorporating the global unique identifier (GUID) to streamline data collaborations between centers. DMS will
continue its inter core collaboration by, maintaining the database in collaboration; maintaining a dynamic registry;
maintaining standardized brain measures in the database; providing informatics and statistical collaboration for
the BMS core. The core will continue to provide scalable storage solutions and be the conduit to share data with
researchers and collaborators through latest tools and new systems. DMS will also interface with NACC to
implement data acquisition forms, submit UDS data in a timely manner and be swiftly handle query resolution.
DMS will continue to develop and implement innovative tools to incorporate various data sets including the vast
“-omics” data and also make the tools available to the wider research community through our website and social
media.
The DMS Core also aims to provide state-of-the-art statistical support (AIM 2) and promote scientific rigor,
by providing comprehensive statistical collaboration and consultation to all the Cores at NYU ADRC across the
entire spectrum of the translational research process of study design, conduct, analysis, visualization,
interpretation, and reporting of clinical, translational, and population-based research. DMS core will develop
innovative study designs and new statistical methods to address emerging research directions undertaken by
ADRC investigators that include developing new statistical models and methods to deal with latent
heterogeneities in ADRD, effective risk prediction models with variable selection, novel machine learning
methods for high dimensional data, and open platform computing algorithms and R packages. Finally, the DMS
Core mentors center affiliated young investigators and trainees in addition to promoting scientific rigor with
extensive statistical support, facilitating collaboration and optimizing resources with cutting edge data
management, and magnifying the impact of findings by promoting reproducible research and data sharing.

## Key facts

- **NIH application ID:** 10148610
- **Project number:** 5P30AG066512-02
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Yongzhao Shao
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $456,067
- **Award type:** 5
- **Project period:** 2020-05-01 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10148610

## Citation

> US National Institutes of Health, RePORTER application 10148610, Data Management and Statistical Core (5P30AG066512-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10148610. Licensed CC0.

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