# Data-Analysis-Core

> **NIH NIH U54** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2022 · $511,359

## Abstract

ABSTRACT 
Data Analysis Core. The Data Analysis Core (DA) will construct biomarker and map datasets generated from 
whole human lung and heart tissue, cells, and tissue-based 3D models. The DAC will deliver robust and 
standardized data to the TriState SenNet TMC and the SenNet Data Coordinating Center (CODCC). The overall 
goals of the DAC are to store, analyze, and model the biomarker and map datasets generated from the tissues 
provided by the Biospecimen Core (BC) and analyzed by the Biological Analysis Core (BAC) using robust 
computational packages and analysis methods, align with data from the BC, and work together with other TMCs 
and the CODCC to develop network-wide open data and metadata standards, and to conduct cross-validation 
of assays within and across TMCs. We will achieve these goals by: 1) providing biostatistics and informatics 
support to ensure the integrity of data collection, storage, transfer, and harmonization within the TriState SenNet 
TMC; 2) constructing a lung and heart senescence atlas using advanced and robust statistical, computational, 
and artificial intelligence algorithms; and 3) collaborating closely with the CODCC and other TMCs on developing 
open data and metadata standards and cross-validating assays within and across TMCs.

## Key facts

- **NIH application ID:** 10492698
- **Project number:** 5U54AG075931-02
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** Qin Ma
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $511,359
- **Award type:** 5
- **Project period:** 2021-09-30 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10492698

## Citation

> US National Institutes of Health, RePORTER application 10492698, Data-Analysis-Core (5U54AG075931-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10492698. Licensed CC0.

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