# Data Management and Analysis Core

> **NIH NIH U19** · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2021 · $443,559

## Abstract

DATA MANAGEMENT AND ANALYSIS CORE - PROJECT SUMMARY/ABSTRACT
The goal of the proposed program is to obtain in-depth profiles of how human innate and adaptive immune
cells function in response to viral pathogens in tissues and to understand how the circulating responses relate
to those in tissues. Using CMV as a model of infection, we aim to identify signatures for tissue-specific control
of human immune responses for promoting in situ protective immunity in vaccines and immunotherapies.
These efforts will generate thousands of data files representing the results of a diverse collection of assays.
The Data Management and Analysis Core (DMAC) will be responsible for aggregating, annotating, organizing,
analyzing, and disseminating this data. In that role the Core will serve as a centralized resource to support the
shared data management and analysis needs of the Center, offering access to expertise and IT infrastructure
that would be impractical to replicate in the context of individual projects. Specifically, the DMAC will:
Coordinate data curation, storage, and sharing: Data files will have to be accompanied by appropriate clinical
and experimental annotations to support both the program’s own analysis needs as well as requirements for
submission to public NIH repositories. The DMAC will coordinate the collection and curation of this information
in collaboration with the relevant projects and cores and will provide access to authenticated, network-
accessible storage infrastructure for securely storing and sharing data files among investigators.
Provide data analysis expertise: The DMAC will provide projects with analytical expertise to guide the
execution of computational investigations. Where possible analysis tasks will be automated and standardized
by leveraging (and adapting, as needed) validated computational pipelines developed to support the operation
of well-established shared resources at the Columbia University Medical Center (CUMC). The Core will further
utilize and enhance novel methodologies for the analysis of single-cell data and for the systems-level
delineation of the regulatory programs that preside over cell-state transitions in T cells, dendritic cells, and
macrophages.
Facilitate access to high performance computing infrastructure: Through the Core investigators will have
access to sophisticated IT infrastructure designed specifically to support the needs of biomedical research at
the CUMC, including fast, network-accessible disk storage and a powerful computational cluster that is among
the most advanced in the nation dedicated to biomedical research.
Coordinate data dissemination: A key goal of the HIPC program is the timely dissemination of the data
generated by all awardees to the research community. The process requires the compilation of comprehensive
documentation to ensure that the data released are interpretable. The DMAC will be responsible for preparing
all necessary data submissions, interfacing with repository p...

## Key facts

- **NIH application ID:** 10074528
- **Project number:** 5U19AI128949-05
- **Recipient organization:** COLUMBIA UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** Aris Floratos
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $443,559
- **Award type:** 5
- **Project period:** 2017-01-01 → 2022-03-17

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10074528

## Citation

> US National Institutes of Health, RePORTER application 10074528, Data Management and Analysis Core (5U19AI128949-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10074528. Licensed CC0.

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