SHARE Data Science Core

数据科学核心摘要 在艾滋病毒感染者中普遍使用酒精对艾滋病毒的传播、接触和 护理中的滞留性和对混合感染的易感性。识别复杂的行为和社会 酒精使用障碍的决定因素和结合行为的新的有效干预措施的开发 生物战略将极大地促进治疗艾滋病毒和酒精相关的发病率和死亡率，并减少 艾滋病毒的感染和传播。计划周密的研究、高质量的研究数据和适当的分析 对解决相关科学问题和推动新的干预措施的发展至关重要 战略。数据科学核心(DSC)的目标是提供与研究相关的专业知识的中心来源 为拟议的方案项目设计、数据管理和数据分析，以解决艾滋病毒和艾滋病共存的问题 酗酒。DSC由一批在研究设计方面具有丰富经验的稳定的研究人员组成 和分析、进行研究、数据管理和方法开发。案件中的调查人员 DSC将追求以下三个具体目标：(1)为翻译行为科学研究提供支持 设计、方案制定、数据管理、统计分析和研究传播 关于管理艾滋病毒携带者中的艾滋病毒和酒精使用的研究项目；(2) 集成不同的数据源并进行探索性分析，以解决 妇幼保健院的艾滋病毒和酒精，包括其他物质使用、精神健康、性传播感染和 健康的社会决定因素；和(3)通过以下方式加强新兴研究人员的研究能力 为飞行员提供先进和创新研究方法、数据科学支持方面的培训和指导 项目，并在可分析的数据准备和数据分析方面提供协助。DSC对于确保 成功完成本计划项目中提出的目标。

DATA SCIENCE CORE ABSTRACT Alcohol use that is common among HIV-infected people adversely affects transmission of HIV, engagement and retention in care, and susceptibility to coinfections. Identification of the complicating behavioral and social determinants of alcohol use disorders and development of new effective interventions that combine behavioral and biological strategies will greatly facilitate to treat HIV and alcohol-related morbidity and mortality and reduce infection and transmission of HIV. A well-planned study, high quality research data, and appropriate analysis are pivotal to addressing the relevant scientific questions and inform the development of new interventional strategies. The Data Science Core (DSC) targets to provide a central source of expertise related to research design, data management, and data analysis for the proposed program project to address comorbid HIV and alcohol use. The DSC consists of a stable group of investigators with extensive experience in research design and analysis, conducting studies, data management, and methodological development. The investigators in the DSC will pursue the following three specific aims: (1) to provide support in translational behavioral science study design, protocol development, data management, statistical analysis, and research dissemination for the three research projects on management of HIV and alcohol use among Young People Living with HIV (YPLWH); (2) to integrate disparate data sources and conduct exploratory analyses that address additional comorbidities of HIV and alcohol in YPLWH, including other substance use, mental health, sexually transmitted infections, and social determinants of health; and (3) to enhance the research capacity of emerging investigators through training and mentoring in advanced and innovative research methodologies, data science support for pilot projects, and assistance in analyzable data preparation and data analysis. The DSC is essential to ensure the successful accomplishment of the proposed goals in this program project.