# Data Center for Acute to Chronic Pain Biosignatures

> **NIH NIH U54** · JOHNS HOPKINS UNIVERSITY · 2021 · $2,558,249

## Abstract

Understanding the mechanisms underlying the transition to chronic pain is a key to
mitigating the dual epidemics of chronic pain and opioid use in the U.S. In response to
RFA-RM-18-031, and as part of the NIH Common Fund Acute to Chronic Pain
Signatures (A2CPS) Program, we will establish a Data Integration and Resource Center
(DIRC) to integrate imaging, physiology, -omics, behavioral, and clinical data to develop
biosignatures for the transition to chronic pain. The Center will be based in the
Department of Biostatistics at JHU, a nexus for a wide range of collaborators with
expertise in (1) advanced data science and machine learning, (2) neuroimaging, (3)
genomics and related -omics, (4) wearable computing and smartphone-based behavioral
assessment, (5) systems-level predictive biosignatures, (6) software engineering and
high-performance computing, and (7) world-renowned pain researchers from JHU and
other institutions. JHU Biostatistics is the top-ranked department of its kind in the
country, and its unique blend of faculty provides the ability to be nimble and
accommodate analysis of diverse data types as needed, and a unique capacity for
scientific outreach through online courses and other forums. To deliver computing
infrastructure and cloud-based computing for A2CPS, we partner with the Texas
Advanced Computing Center (TACC), who have a long track record of large-scale
collaborations and have already built many of the cloud computing tools we see as ideal
for this project. The Center will consist of three components and an Administrative Core.
The Administrative Core will lead the Center and facilitate interaction among the
components of the Center and across the A2CPS consortium. The Data Coordination
Component (DCC) will provide the infrastructure for storage and processing, analysis
pipelines, cloud computing, and portals for data upload/query/export, in addition to other
technical deliverables. The Data Integration and Analysis Component (DIAC) will
provide data type-specific content for pipelines and analyses of data collected by the
A2CPS consortium. The Scientific Outreach Component (SOC) will use DCC-
developed portal infrastructure to maintain the consortium intranet and perform outreach
via the public A2CPS portal. It will also organize a variety of in-person and online training
and outreach programs, including the creation of free, online courses disseminating
information about chronic pain and A2CPS tools, data, and models.

## Key facts

- **NIH application ID:** 10246323
- **Project number:** 5U54DA049110-03
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** Martin Lindquist
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $2,558,249
- **Award type:** 5
- **Project period:** 2019-09-01 → 2023-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10246323

## Citation

> US National Institutes of Health, RePORTER application 10246323, Data Center for Acute to Chronic Pain Biosignatures (5U54DA049110-03). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10246323. Licensed CC0.

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