# Clinical Protocol and Data Management

> **NIH NIH P30** · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · 2024 · $789,807

## Abstract

Abstract Clinical Protocol and Data Management
The City of Hope Comprehensive Cancer Center (COHCCC) Clinical Protocol and Data Management (CPDM)
provides a centralized, comprehensive infrastructure which supports the conduct of all translational and clinical
research. The CPDM is led by Dr. Marwan Fakih, MD, Interim Medical Director for Clinical Trials Office. Dr. Fakih
is supported by Alex Hererra, MD, Associate Medical Director for Clinical Trials Office and Ashley Baker-Lee,
Associate Director, Administration. Dr. Fakih is responsible for study activation, education and training, policy
and procedure development, accruals, data management and quality as well as data and safety monitoring. This
includes the teams who support the centralized systems, including the clinical trials management system
(OnCore) and case report form development (Medidata Rave).
The CPDM provides a strong foundation for high-quality clinical research by ensuring quality design of COH
initiated research, efficient study start up, accurate collection of data to meet protocol objectives, protocol
compliance, and monitoring trial conduct and progress. As a centralized and integrated resource, CPDM
provides dedicated and experienced staff to support COH’s robust and growing research portfolio.

## Key facts

- **NIH application ID:** 10843135
- **Project number:** 5P30CA033572-41
- **Recipient organization:** BECKMAN RESEARCH INSTITUTE/CITY OF HOPE
- **Principal Investigator:** ANNA PAWLOWSKA
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $789,807
- **Award type:** 5
- **Project period:** 1997-08-01 → 2027-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10843135

## Citation

> US National Institutes of Health, RePORTER application 10843135, Clinical Protocol and Data Management (5P30CA033572-41). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10843135. Licensed CC0.

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