# Core A: Administration

> **NIH NIH P01** · UNIVERSITY OF WASHINGTON · 2021 · $108,310

## Abstract

CORE A: ADMINISTRATION – SUMMARY/ABSTRACT
An effective, proactive and efficient Administrative Core is essential to the productive planning, operation and
support of the P01. Aging is a complex phenomenon and we believe it is through the coordinated efforts of
motivated scientists with complementary expertise that real progress in unraveling underlying mechanisms and
developing strategies to extend healthspan will occur. The Administrative Core of the P01 provides overall
direction, internal and external review, administrative and statistical support. It 1) Provides an effective
organizational structure to expedite research and promote communication between Program Project
components and investigators. 2) Monitors and regularly review the quality and progress of research; 3)
Insures adherence to rigorous statistical considerations in experimental design and data analysis. 4) Manages
fiscal components of the Program Project including reallocation of funds to optimize overall function, and
resolve any conflicts that arise over resources in a fair and equitable manner to maximize research findings. 5)
Provides short-range and long-range planning, including internal meetings and external advisory meetings, for
the enhancement and integration of Program Project facilities. 6) Provides data sharing and data dissemination
facilities for the P01.

## Key facts

- **NIH application ID:** 10134169
- **Project number:** 5P01AG001751-37
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** PETER S RABINOVITCH
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $108,310
- **Award type:** 5
- **Project period:** 1997-08-15 → 2023-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10134169

## Citation

> US National Institutes of Health, RePORTER application 10134169, Core A: Administration (5P01AG001751-37). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10134169. Licensed CC0.

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