# Data Core

> **NIH NIH U19** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2021 · $98,350

## Abstract

Summary/Abstract
The success of this program project, 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 analytic 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 prototype 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:** 10134204
- **Project number:** 5U19AI089674-12
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** GEOFFREY LAVOY
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $98,350
- **Award type:** 5
- **Project period:** 2010-07-01 → 2024-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10134204

## Citation

> US National Institutes of Health, RePORTER application 10134204, Data Core (5U19AI089674-12). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10134204. Licensed CC0.

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