# Core C - Data Management, Biostatistics, and Bioinformatics Core

> **NIH NIH P30** · UNIVERSITY OF PENNSYLVANIA · 2020 · $168,309

## Abstract

Core C: Data Management, Biostatistics, and Bioinformatics Core
Core Leader: Sharon X. Xie
Summary/Abstract: Data Management, Biostatistics, and Bioinformatics Core C
The Data Management, Biostatistics, and Bioinformatics Core (Core C) described here is an integral part of the
University of Pennsylvania School of Medicine (Penn) Alzheimer's Disease (AD) Core Center (ADCC). The
goal of Core C in this competing renewal application for continued funding of the Penn ADCC by the National
Institute of Aging (NIA) is to support the data management, statistical, bioinformatics, database, and related
computational needs of Penn ADCC investigators and ADCC Pilot awardees. The services provided by Core C
include: (a) support for data form/questionnaire design and development, database development and
management, data entry, database audit trail, database security, database backup, and stringent data quality
control procedures, (b) computing and programming support for all Penn ADCC activities, including
implementation and integration of hardware and software upgrades necessary for data management and
research, routine and archival off-site backup of computing systems central to the Penn ADCC, (c)
biostatistical support for all study aspects from inception to publication, including development of study design,
performing sample size and power calculations, and performing analyses of the ADCC data, (d) provide
statistical training to ADCC trainees, (e) promoting an effective working relationship between the Penn ADCC,
other NIA funded AD Centers (ADCs) and the National Alzheimer's Coordinating Center (NACC). Thus, Core C
plays an important and significant role in the Penn ADCC that is critical to research on AD and related
disorders, subjects with mild cognitive impairment (MCI) and normal controls (NC) conducted by Penn ADCC
investigators and their collaborators at other ADCs as well as to the continuation of an effective working
relationship with NACC.

## Key facts

- **NIH application ID:** 9962204
- **Project number:** 5P30AG010124-30
- **Recipient organization:** UNIVERSITY OF PENNSYLVANIA
- **Principal Investigator:** Sharon Xiangwen Xie
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $168,309
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9962204

## Citation

> US National Institutes of Health, RePORTER application 9962204, Core C - Data Management, Biostatistics, and Bioinformatics Core (5P30AG010124-30). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/9962204. Licensed CC0.

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