Southern HIV and Alcohol Research Consortium Biomedical Data Repository

摘要： 艾滋病毒感染者（PLWH）的人数在美国继续增加。 酒精消费是实现消除艾滋病毒的目标的一个重大障碍， 艾滋病的流行和预防艾滋病毒感染者的合并症，因为它有助于艾滋病毒的传播， 和艾滋病相关的并发症。移动医疗等数据采集系统的最新进展 设备、医学成像和高通量生物技术使得大型/复杂的研究 和临床数据集，包括调查数据、多组学数据、电子医疗数据、 记录和/或其他与参与护理有关的可靠信息来源。这提供 应用“大”数据来提取知识和见解的巨大潜力， 基础生理学，了解生物的致病作用的机制， 和非生物因素，并确定潜在的干预目标。我们建议 整合合作伙伴维护的不同数据源，然后利用大数据， 解决治疗艾滋病毒和酒精相关的发病率和死亡率的研究问题。 具体来说，我们将追求以下三个目标：1）集成不同的数据源 通过标准化、协调和合并; 2）开发基于网络的数据共享 平台包括虚拟数据共享社区、数据隐私保护、简化数据 批准和访问，并跟踪正在进行的研究活动; 3）提供统计支持 初级研究者使用数据存储库进行探索性数据分析和建议 发展拟议中的研究将利用不同的数据源，释放 数据和信息，加速知识发现，推进数据驱动的健康， 转化发现，以改善PLWH的健康结果。

Abstract: The number of persons living with HIV (PLWH) continues to increase in the United States. Alcohol consumption is a significant barrier to both achieving the goal of ending the HIV epidemic and preventing comorbidities among PLWH, as it contributes to both HIV transmission and HIV-related complications. Recent advances in data capture systems such as mHealth devices, medical imaging, and high-throughput biotechnologies make large/complex research and clinical datasets available, including survey data, multi-omics data, electronic medical records, and/or other sources of reliable information related to engagement in care. This offers tremendous potential of applying “big” data to extract knowledge and insights regarding fundamental physiology, understand the mechanisms by which the pathogenic effects of biotic and abiotic factors are realized, and identify potential intervention targets. We propose to integrate the disparate data sources maintained by our partners and then utilize the big data to address research questions in treating HIV and alcohol-related morbidity and mortality. Specifically, we will pursue the following three aims: 1) Integrate the disparate data sources through standardization, harmonization, and merging; 2) Develop a web-based data sharing platform including virtual data sharing communities, data privacy protection, streamlined data approval and access, and tracking of ongoing research activities; 3) Provide statistical support to junior investigators to use the data repository for exploratory data analysis and proposal development. The proposed study will tap into disparate data sources, unleash the potential of data and information, accelerate knowledge discovery, advance data-powered health, and transform discovery to improve health outcomes for PLWH.