SHARE Data Science Core

分享数据科学核心

• 批准号: 10304693
• 负责人: SAMUEL S WU
• 金额: $ 24.01万
• 依托单位: FLORIDA STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-10 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10304693
• 关键词: Address; Adherence; Affect; Alcohol consumption; Alcohols; Behavioral; Behavioral Sciences; Biological; Caring; Clinical; Clinical Research; Clinical Trials Design; Data; Data Analyses; Data Collection; Data Management Resources; Data Science; Data Science Core; Data Sources; Databases; Development; Electronic Health Record; Ensure; Epidemiology; Equation; Florida; Goals; HIV; Health; Health Services Research; Healthcare; Infection; Informatics; Information Dissemination; Infrastructure; Intervention; Knowledge Discovery; Machine Learning; Measures; Mental Health; Mentors; Methodology; Methods; Modeling; Monitor; Morbidity - disease rate; Natural Language Processing; Ontology; Outcome; Pilot Projects; Policy Research; Predisposition; Preparation; Procedures; Program Research Project Grants; Protocols documentation; Quality Control; Randomized; Research; Research Design; Research Methodology; Research Personnel; Research Project Grants; Resources; Sample Size; Scheme; Self Management; Sexually Transmitted Diseases; Site; Source; Statistical Data Interpretation; Statistical Models; Structure; Technology; Training; Trust; Universities; alcohol use disorder; biomedical ontology; co-infection; community engagement; comorbidity; data centers; data management; data privacy; data quality; data sharing; data standards; design; effective intervention; emerging adult; experience; health data; improved; innovation; machine learning algorithm; mortality; online repository; power analysis; programs; protocol development; recruit; research data dissemination; research study; secondary analysis; social determinants; social health determinants; substance use; tool; transmission process; webinar

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.

数据科学核心摘要 在艾滋病毒感染者中常见的饮酒会对艾滋病毒，参与和 保留护理和对共感染的敏感性。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结合的新有效干预措施的发展 生物学策略将极大地促进治疗艾滋病毒和与酒精有关的发病率和死亡率，并降低 艾滋病毒的感染和传播。一项精心计划的研究，高质量的研究数据和适当的分析是 解决相关科学问题的关键并告知新介入的发展 策略。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 拟议计划项目的设计，数据管理和数据分析，以解决合并症艾滋病毒和 饮酒。 DSC由一个稳定的研究人员组成，在研究设计方面具有丰富经验 以及分析，进行研究，数据管理和方法论发展。调查员 DSC将追求以下三个具体目标：（1）在翻译行为科学研究中提供支持 设计，协议开发，数据管理，统计分析和研究传播 艾滋病毒（YPLWH）的年轻人中有关艾滋病毒和饮酒管理的研究项目； （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，包括其他药物使用，心理健康，性传播感染以及 健康的社会决定因素； （3）通过 高级和创新研究方法的培训和指导，数据科学支持飞行员 项目，以及可分析的数据准备和数据分析的帮助。 DSC对于确保 成功实现了该计划项目中提出的目标。