# Administrative and Data Management Core

> **NIH NIH P01** · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2020 · $92,742

## Abstract

Project Summary
Core A is an Administrative and Data Management core that will serve all four projects, plus Core B large
animal sites in multiple locations. This core will provide the vital functions which are essential for keeping this
program project organized, synergistic, productive and compliant. The experienced Administrative and Data
Management core staff, under the direction of Dr. Megan Sykes, will provide program-specific administrative
support including: coordinating interactions between projects; organizing regular monthly meetings of all the
project leaders and personnel; overseeing expenditures; coordinating communication with NIAID staff and
program personnel; and organizing the creation of a scientific advisory board and subsequent meetings.
The second main function of this core is to
provide all of the logistical and technical
support necessary to facilitate expedient
flow of information and secure data storage
and transfer. The successful integration of
this Program Project’s leaders, laboratory
personnel and data will depend on an
effective core being the supporting
foundation for all projects and the animal
core sites together.
As provided in the overview section of this
application, the illustration of interactions
and support is provided in the embedded
image.

## Key facts

- **NIH application ID:** 9987459
- **Project number:** 5P01AI045897-20
- **Recipient organization:** COLUMBIA UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** Megan Sykes
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $92,742
- **Award type:** 5
- **Project period:** 2000-09-15 → 2022-01-19

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9987459

## Citation

> US National Institutes of Health, RePORTER application 9987459, Administrative and Data Management Core (5P01AI045897-20). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9987459. Licensed CC0.

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