# Data Management and Biostatistics Core

> **NIH NIH U19** · UNIVERSITY OF CALIFORNIA-IRVINE · 2023 · $151,247

## Abstract

Data Management and Biostatistics Core
SUMMARY
The major goal of the Data Management and Biostatistics Core is to establish a centralized
data management system for laboratory and field data generated from the three research
projects of this ICEMR. The core will also provide data analytic support and training to
ICEMR consortium members, and enhance biostatistical capacity relevant to malaria
research and control in Kenya and Ethiopia. We will implement established data processing
procedures through a standardized framework in which all project leaders and key
investigators can stay informed of the status of the inter-related and synergistic research
projects, have access to validated field and laboratory data, and collaborate with
biostatisticians to publish research findings. The electronic data capture (EDC) framework
will be deployed primarily with online web-based data entry applications and/or offline mobile
devices for to ensure data security, quality and uniformity of the research results from study
sites in Kenya and Ethiopia and U.S. laboratories. The Data Management System (DMS)
servers will be established in Kenya, Ethiopia and UCI, and mirrored by a cloud-based server
through an internet-based on-demand computing service provider. Our multi-disciplinary
ICEMR projects will collect multi-layer data that include remote sensing, ecological and
geospatial features, deep sequencing data, and clinical information that will be integrated with
public repositories in accordance with NIH requirements, e.g., VectorBase and PlasmoDB.
With these extremely large and diverse multi-discipline datasets from the ICEMR, we will use
state-of-the-art big data technologies and cloud-based distributed computing in an open
source Apache Hadoop framework to enable sophisticated analyses and presentations that
are not possible in a single computing server. We will also provide statistical support and
training in GIS, data analysis, ecological modeling, population genetics and bioinformatics,
and build infrastructure for malaria research in Kenya and Ethiopia. The Core will be directed
by Dr. Ming-Chieh Lee at UCI and supported by biostatisticians and data managers in Kenya
and Ethiopia.

## Key facts

- **NIH application ID:** 10608067
- **Project number:** 5U19AI129326-07
- **Recipient organization:** UNIVERSITY OF CALIFORNIA-IRVINE
- **Principal Investigator:** Ming-Chieh Lee
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $151,247
- **Award type:** 5
- **Project period:** 2017-04-15 → 2024-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10608067

## Citation

> US National Institutes of Health, RePORTER application 10608067, Data Management and Biostatistics Core (5U19AI129326-07). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10608067. Licensed CC0.

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