Data Center for Acute to Chronic Pain Biosignatures

了解慢性疼痛转变的潜在机制是 缓解美国慢性疼痛和阿片类药物使用的双重流行病 RFA-RM-18-031，作为NIH共同基金急性至慢性疼痛的一部分 签名（A2 CPS）计划，我们将建立一个数据集成和资源中心 （DIRC）整合成像，生理学，组学，行为和临床数据，以开发 转变为慢性疼痛的生物特征该中心将设在 JHU生物统计学系，广泛合作者的纽带， 专业知识（1）先进的数据科学和机器学习，（2）神经成像，（3） 基因组学和相关组学，（4）可穿戴计算和基于智能手机的行为 评估，（5）系统级预测生物特征，（6）软件工程和 高性能计算，以及（7）来自JHU和 其他机构。JHU生物统计学是其在同类中排名第一的部门 国家，其独特的教师组合提供了灵活， 可根据需要分析不同的数据类型， 通过在线课程和其他论坛进行科学宣传。来提供计算 基础设施和基于云的计算为A2 CPS，我们与得克萨斯州 高级计算中心（TACC），他们有着长期的大规模 我们已经建立了许多我们认为理想的云计算工具 为这个项目。该中心将由三个部分和一个行政核心组成。 行政核心将领导该中心，并促进 该中心的组成部分和整个A2 CPS联盟。数据协调 组件（DCC）将提供存储和处理、分析 管道、云计算和用于数据上传/查询/导出的门户，以及其他 技术交付成果。数据集成和分析组件（DIAC）将 为管道提供特定于数据类型的内容，并分析由 A2 CPS财团。科学外展部分（SOC）将使用DCC- 开发门户基础设施，以维护联合体内联网并开展外联活动 通过公共A2 CPS门户网站。它还将组织各种面对面和在线培训 和推广计划，包括创建免费的在线课程， 关于慢性疼痛和A2 CPS工具、数据和模型的信息。

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.