# Research Design & Data Analysis Core

> **NIH NIH U54** · YALE UNIVERSITY · 2020 · $109,268

## Abstract

The purpose of the Precision Medicine approach is to investigate new strategies to reduce health disparities
and promote health equity by exploring research that merges individual-level factors with contextual factors
that influence an individual’s risk for disease. The Precision Medicine approach integrates multiple disciplines
and promotes strong collaborations between researchers, community members, policy delegations, health
organizations, and governmental agencies.
The Research Design and Data Analysis Core (RDDA) of the Yale Transdisciplinary Collaborative Center
(YALE-TCC) will deploy a diverse set of rigorous, analytic methods to support precision medicine research and
create innovative leadership and skills strengthening exercises to promote the activities of YALE-TCC
stakeholders, both academic and non-academic. RDDA will also work closely with the Biomedical Informatics
Core (BIC) to support individual and contextual data integration, ensure data quality and relevance, and
manage researcher and key stakeholder data access to ensures data availability and security.
To accomplish these goals, RDDA will: 1) lead the data analyses of the embedded subprojects and of the
YALE-TCC evaluation components using quantitative and qualitative analytic approaches; 2) support the
design and analysis of pilot projects and demonstration projects; 3) strengthen precision medicine research
capacity in the region and provide training activities for the YALE-TCC consortium members; and 4) establish
and enforce, in close collaboration with BIC, YALE-TCC protocols for data management, storage, security,
privacy, and sharing.
Through these activities, RDDA will facilitate transdisciplinary collaboration to promote the
implementation of precision medicine research to improve health outcomes for minority populations
across Region II, which includes New York, Puerto Rico, and the U.S. Virgin Islands.

## Key facts

- **NIH application ID:** 9972760
- **Project number:** 5U54MD010711-05
- **Recipient organization:** YALE UNIVERSITY
- **Principal Investigator:** Mayur Mahesh Desai
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $109,268
- **Award type:** 5
- **Project period:** — → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9972760

## Citation

> US National Institutes of Health, RePORTER application 9972760, Research Design & Data Analysis Core (5U54MD010711-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9972760. Licensed CC0.

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