# CORE C- DATA MANAGEMENT AND STATISTICS

> **NIH NIH P01** · JOHNS HOPKINS UNIVERSITY · 2021 · $385,103

## Abstract

This Data Management and Statistics Core (Core C) has played an essential role in the research program over
its 25-year history. The Data Management and Statistics Core will continue to serve the overall research
program and each of the component projects (Projects 1-4), along with the Animal Resource (Core B).
The Core will provide expertise in statistics and experimental design to all projects under their respective
research plans. This function of the Core is critical in the design and analysis of experiments that provide
increasingly complex data and may benefit from analytical methods beyond the expertise of Project Leaders.
Core C personnel with statistical expertise will participate in all research planning meetings (as described in
detail in Core A). Continued consultation with investigators during the conduct of the research, data analysis,
and preparation of publications will occur between this Core and the Projects. In these activities the Core
maximizes communication across all project components to further the understanding of data to be analyzed,
statistical procedures for those analyses, and appropriate interpretation of findings.
This Core continues to develop and implement data management strategies to process and document all data
collected in Core B (Animal Resource) and in the Projects. Through its data management activity the Core will
continue to build an archive of data generated under this mechanism of support. Because all data are keyed to
the age and cognitive status of AI and AU rats, and each subject has a unique identifier that links subject data
across datasets, many opportunities exist for comparison of data in this animal model across studies and
projects. These archives serve all members of the investigative group and constitute a highly valuable base of
information in the area of neurocognitive aging. Specific personnel in Core C are tasked with the database
resource development and data management.
Large archives of data (e.g. behavioral data and health records from the Animal Resource, microarray datasets
in basal and experimental conditions) are managed in an accessible format for internal use and for data
sharing both within the Program Project and with outside investigators, the latter under the supervision of Core
A.

## Key facts

- **NIH application ID:** 10171059
- **Project number:** 2P01AG009973-26A1
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** SCOTT L. ZEGER
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $385,103
- **Award type:** 2
- **Project period:** 1997-09-01 → 2026-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10171059

## Citation

> US National Institutes of Health, RePORTER application 10171059, CORE C- DATA MANAGEMENT AND STATISTICS (2P01AG009973-26A1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10171059. Licensed CC0.

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