SHARE Data Science Core

数据科学核心摘要 艾滋病毒感染者中常见的饮酒对艾滋病毒的传播、参与和 保持护理和对合并感染的易感性。识别复杂的行为和社会 酒精使用障碍的决定因素和新的有效干预措施的发展，联合收割机行为 和生物战略将大大有助于治疗艾滋病毒和酒精相关的发病率和死亡率， 感染和传播艾滋病毒。一个精心策划的研究，高质量的研究数据和适当的分析是 关键是解决相关的科学问题，并告知新的干预性药物的开发， 战略布局数据科学核心（DSC）旨在提供与研究相关的专业知识的中央来源 设计，数据管理和数据分析的拟议计划项目，以解决共病艾滋病毒和 饮酒DSC由一组稳定的研究人员组成，他们在研究设计方面具有丰富的经验 研究和分析、开展研究、数据管理和方法开发。调查人员在 研究中心将致力于以下三个具体目标：（1）为转化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 关于艾滋病毒感染者年轻人中艾滋病毒和酒精使用管理的研究项目;（2） 整合不同的数据源，并进行探索性分析，以解决其他合并症， YPLWH中的艾滋病毒和酒精，包括其他物质使用，心理健康，性传播感染， 健康的社会决定因素;（3）通过以下方式提高新兴研究人员的研究能力： 先进和创新研究方法的培训和指导， 项目，并协助可分析的数据准备和数据分析。DSC对于确保 圆满完成了本项目的预定目标。

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.