# EPPIC-NET DCC - Supplement

> **NIH NIH U24** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2024 · $3,941,104

## Abstract

PROJECT SUMMARY/ABSTRACT
The Data Coordinating Center (DCC) of the Early Phase Pain Investigation Clinical Network (EPPIC-Net) will be
the data and biospecimen manager for pain research within the HEAL Partnership. As such, it will host, manage,
standardize, curate, and provide a sharing platform for data and biospecimens for HEAL initiatives, such as the
Acute to Chronic Pain Signature initiative and the BACPAC, in addition to EPPIC-Net studies. The DCC will
develop and maintain a databank for depositing pre-clinical, clinical, neuroimaging, microbiome, genomics, and
other omics biomarker data, will link these data with a repository for biological samples, and will create a platform
for teams to work together to analyze and interpret data. Further, the DCC will provide leadership in the statistical
design and analysis of EPPIC-Net studies, and will deploy advanced systems and processes for data collection,
management, quality assurance, and reporting. The DCC will create, sustain, and continually advance a robust
organization for the rapid design, implementation, and performance of high-quality rigorous Phase II clinical trials
to test promising therapeutics for pain. The proposed DCC brings together experts from statistics, clinical trials
design and simulation, data management, neuroimaging, bioinformatics, genomics, and radiology, and
leverages decades of experience instituting and running large data sharing consortia and data coordinating
centers. Our aims are to further the goals of EPPIC-Net and the HEAL initiative through: 1) Integration of the
DCC within the EPPIC-Net structure and facilitation of the alliance with HEAL partners; 2) Provision of
biostatistical expertise, support, and leadership to EPPIC-Net studies; 3) Provision of legacy and de novo secure
data storage and comprehensive data management for EPPIC-Net studies; 4) Institution of a pain-related
expandable biospecimen repository; and 5) Establishment of the EPPICNet DataExchange and
BiospecimenExchange to foster development of non-addictive treatments for pain. The DCC will be structured
around four cores:1) an Administrative Core; 2) a Statistics Core; 3) a Data Core; and 4) a Biospecimen Core.
This DCC will work with the EPPIC-Net Clinical Coordinating Center (CCC) and with the Specialized Clinical
Centers (SCC, a hub and its spokes/clinics) to educate clinicians and staff in good clinical trial practices for
reproducibility of research, and to train them in the data management system and procedures employed in the
network. The DCC will provide sites with user-friendly dashboards to monitor their own performance and will
promote collegial and supportive relationships with sites’ personnel to cultivate rigorous and enthusiastic
engagement in the conduct of the studies. The DCC will use state-of-the-art concepts and techniques in the
acquisition, transfer, storing, management, standardization, linking and curation of the clinical and biomarker
data to launch and maintain the...

## Key facts

- **NIH application ID:** 11075499
- **Project number:** 3U24NS113844-05S2
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Andrea B Troxel
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $3,941,104
- **Award type:** 3
- **Project period:** 2023-09-01 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11075499

## Citation

> US National Institutes of Health, RePORTER application 11075499, EPPIC-NET DCC - Supplement (3U24NS113844-05S2). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/11075499. Licensed CC0.

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