# EPPIC-NET DCC

> **NIH NIH U24** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2021 · $3,425,553

## 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 EPPIC-
Net DataExchange and BiospecimenExchange to foster the development of non-addictive treatments for pain.
The DCC will be structured around four cores: 1) an Administrative Core; 2) a Statistical 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 the 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 EPPIC Exch...

## Key facts

- **NIH application ID:** 10244982
- **Project number:** 5U24NS113844-03
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Eva Petkova
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $3,425,553
- **Award type:** 5
- **Project period:** 2019-09-30 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10244982

## Citation

> US National Institutes of Health, RePORTER application 10244982, EPPIC-NET DCC (5U24NS113844-03). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10244982. Licensed CC0.

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