# Data Core

> **NIH NIH U19** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2024 · $68,991

## Abstract

Summary/Abstract (30 line limit)
The success of this program, which includes a wide range of field-based and laboratory studies with diverse
populations and locations, will require a strong Data Management and Biostatistics Core that includes flexible
data acquisition methods, rigorous data quality management to insure uniformity across sites, timely reporting
and sophisticated analytical methods. The overall purpose of the Data Management and Biostatistics Core will
be to provide investigators and staff with coordinated and sophisticated data acquisition tools, data entry, data
quality management services, secure data archiving, and expert statistical and methodological support. This
core has been critical to the success of our existing PRISM program and in this renewal we will take advantage
of the experience we have gained to leverage shared resources, methodologies, and personnel to reduce
costs and increase efficiency. In addition, significant effort has been invested in standardizing approaches for
data collection and management (both within this project and between ICEMRs) to build a Clinical (meta) Data
Integration Platform allowing investigators to rapidly interrogate across clinical parameters, laboratory results,
socioeconomic factors, and entomological findings to generate new hypotheses and identify key samples for
further analysis. The overall goal of this system will be to maximize the scientific potential of data (and
metadata) being collected through the ICEMR network, providing freely and publicly accessible databases to
the larger malaria research community. Data and statistical services will be provided by a well-established and
NIH/OPCRO approved data management center located in Kampala and expert program faculty specializing in
epidemiology and biostatistics. The specific aims of the Data Management and Biostatistics Core will be 1) To
provide sophisticated data acquisition systems and data quality management services to ensure the timeliness,
completeness, accuracy, uniformity, and security of collected clinical and research data. 2) To provide expert
statistical and methodological support for the design, monitoring, and evaluation of research projects. 3) To
implement a comprehensive system for tracking biological samples, for current and future use. 4) To integrate
the diverse datatypes generated by this project, both internally, and with data emerging from other ICEMRs,
ensuring maximal long-term utility for the broader scientific community.

## Key facts

- **NIH application ID:** 10836944
- **Project number:** 2U19AI089674-15
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** GEOFFREY LAVOY
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $68,991
- **Award type:** 2
- **Project period:** 2010-07-01 → 2029-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10836944

## Citation

> US National Institutes of Health, RePORTER application 10836944, Data Core (2U19AI089674-15). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10836944. Licensed CC0.

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