# Core B: Data Management

> **NIH NIH U19** · UNIVERSITY OF TEXAS MED BR GALVESTON · 2024 · $4,640,499

## Abstract

PROJECT SUMMARY/ABSTRACT – Core B (Data Management Core)
Data and derived knowledge are valuable by-products of scientific investigations and are crucial in verifying and
reproducing study outcomes. Prioritizing the development of comprehensive data management infrastructure is
of utmost importance in today's scientific research environment, given that efficiently handled and readily
available data can enable the validation and replication processes. Managing sensitive information requires
rigorous data integrity and strict security. The Data Management Core aims to design a secure, scalable, and
redundant data storage and transfer infrastructure to serve as the central knowledge vault for all research
projects and cores to promote data integrity throughout the data lifecycle, including data collection, data storage,
statistical analysis and interpretation, and data transmission and dissemination. During Aim 1, we will establish
a robust data management system for intuitive and secure data storage derived from Research Projects 1-5 and
Cores C, D, and E. We will implement several levels of security to control access to the data located behind
Galveston National Lab, individual cores, and projects' vaults. The system will include data dictionaries,
standardized templates, project-specific and core-specific storage rules, and dashboards. In Aim 2, we will
implement data quality and security control mechanisms for all components of the data management system for
external data sharing and results presentation. The established system will monitor data accuracy and
completeness and ensure the system operates according to established procedures and data standards required
by the REVAMPP Network Coordination and Data Sharing Center. In Aim 3, we will provide data analysis and
bioinformatics support for robust and unbiased results. Experienced data scientists will analyze study designs,
provide independent statistical analysis of the derived data, and set up steps for automatic data QC monitoring
collection and preservation of generated metadata for each individual file. During this Aim, we will also promote
data integrity for product development following ALCOA Plus principles for assuring data quality and integrity.
The Aims will be accomplished by a highly experienced data science team working together for more than a
decade on industrial and academic projects handling highly nationally sensitive data generated by Nuclear Power
Plants as private contractors, as well as routine processing of Petabytes of clinical health records data worldwide
on behalf of UTMB. Core B will be managed by an expert in bioinformatics, data engineering, and data mining
focused on raising translational data standards by developing and promoting multi-omics projects and leading
and teaching clinical data science.

## Key facts

- **NIH application ID:** 10862498
- **Project number:** 1U19AI181930-01
- **Recipient organization:** UNIVERSITY OF TEXAS MED BR GALVESTON
- **Principal Investigator:** George Golovko
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $4,640,499
- **Award type:** 1
- **Project period:** 2024-07-30 → 2027-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10862498

## Citation

> US National Institutes of Health, RePORTER application 10862498, Core B: Data Management (1U19AI181930-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10862498. Licensed CC0.

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