# C: Data Sciences and Methods

> **NIH NIH P30** · UNIVERSITY OF WASHINGTON · 2024 · $247,754

## Abstract

Project Summary/Abstract
The Data Science and Methods Core provides the infrastructure that facilitates an organized, synergistic, and
centralized approach to statistics and qualitative methods in HIV research for the UW/FH CFAR members, with
an emphasis on providing support and training to junior investigators. The services provided by the core help
ensure rigor and reproducibility in HIV research conducted by CFAR investigators. In addition to standard
statistical support, the Core provides advanced statistical methods and expertise in the design, conduct a nd
analysis of clinical research and laboratory studies to CFAR investigators. This includes the development of
novel methods when standard approaches are not adequate or optimal by providing a crucial link between CFAR
biomedical researchers and the large number of biostatistics and other quantitative sciences faculty at the
University of Washington and the Fred Hutch who are developing novel statistical methods. New in this
application is the additional expertise in qualitative methods, bringing both qualitative and quantitative expertise
together in one cohesive group. Finally, the core provides training in both standard statistical methods as well
as more advanced topics involving specialized method for complex new data types and provides an opportunity
for the next generation of quantitative researchers and leaders. Finally, the support we provide contributes to the
innovative, impactful, multidisciplinary and global research of all members who collaborate with our core.
We propose three specific aims to achieve these goals stated above: 1. Provide statistical leadership and
support, including study design, database development, analysis and reporting to CFAR researchers; 2. Provide
leadership, mentorship and assistance in the use of qualitative methods, especially within the fields of behavioral
and implementation science, to build CFAR capacity to evaluate context and incorporate personal
experiences within their research studies; and 3. Provide training and exposure to rigorous qualitative and
quantitative methods for all CFAR researchers.

## Key facts

- **NIH application ID:** 10832123
- **Project number:** 5P30AI027757-37
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Elizabeth Renata Brown
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $247,754
- **Award type:** 5
- **Project period:** 1997-03-01 → 2028-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10832123

## Citation

> US National Institutes of Health, RePORTER application 10832123, C: Data Sciences and Methods (5P30AI027757-37). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10832123. Licensed CC0.

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