Data Science Training: the Essentials

数据科学培训：要点

• 批准号: 10783202
• 负责人: AMANDA MARIA BROWN
• 金额: $ 5.4万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-05-10 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10783202
• 关键词: Aging; Agreement; Behavior; Behavioral; Big Data; Biological; Biomedical Engineering; Biomedical Research; Biotechnology; Bone Diseases; Cardiovascular Diseases; Central Nervous System; Cognition; Cognitive; Collection; Computational Science; Consequences of HIV; Data; Data Analyses; Data Collection; Data Science; Disease; Disparity; Educational workshop; Ethics; Faculty; Funding; Gene Expression; Genomics; HIV; HIV-1; Health; Human; Immersion; Instruction; Investigation; Investments; Kidney Diseases; Knowledge; Laboratories; Lung diseases; Machine Learning; Measures; Mental Health; Mentors; Methods; Modality; Nervous System Physiology; Neurologic; Neurology; Neurosciences; Neurosciences Research; Neurovirology; Participant; Pathologic; Patient Self-Report; Perception; Personal Satisfaction; Persons; Preparation; Psyche structure; Quality of life; Reporting; Research; Research Design; Research Personnel; Resources; Role; Scholars Program; Science; Sensory; Source; Strategic Planning; Techniques; Technology; Testing; Therapeutic Intervention; Training; Training Programs; United States National Institutes of Health; antiretroviral therapy; behavioral health; body system; comorbidity; computational neuroscience; computer science; course module; data repository; high school; improved; innovation; lectures; mathematical sciences; motor control; negative affect; neuroAIDS; neuroimaging; neuroimmunology; neuroinformatics; neurophysiology; novel; novel therapeutic intervention; pre-doctoral; prevent; recruit; repository; skills; tool; transmission process; undergraduate student; virtual

Project Summary Federal investments of all types over the last 40 years in the battle against the pathological consequences of HIV-1 have given hope that a cure will soon be realized. However, those currently living and aging with HIV continue to present with debilitating health impacts that negatively affect quality of life. In the context of the neurological complications, people with HIV- 1 can also suffer from cardiovascular, pulmonary, bone and kidney disease revealing that multiple body systems continue to be impacted despite anti-retroviral therapy successful in preventing transmission. Harnessing Big Data available through longstanding resources like the National Center for Biotechnology Information (NCBI), and newer sources including the NIH All of Us Initiative will increasingly be more widely included and used for testing of critical hypotheses, many which emerge from laboratory-based research. As discussed in the recent NIH report on the strategic plan for data science, the rapid technological advances and collection of vast amounts of genomic and gene expression and other types of biologic data, it has been long recognized that for biomedical researchers knowledge about varied databanks/repositories, and expertise in the proper handling, analysis, storage, sharing, and reporting of findings in ways that are rigorous and disseminate new knowledge, will be important to improve human health and well-being in a more rapid fashion. In this regard, we recently assembled a workgroup made of faculty in the neurological sciences to discuss how to strengthen training in computational sciences for predoctoral and doctoral trainees. One of the findings that emerged from the discussion was, given the varying degrees of prior preparation/exposure there is disparity in trainees’ ability to explore more advanced concepts in computational neuroscience and little instruction on how to apply the tools to scientific investigations of behavior. For our currently funded R25, we introduced predoctoral trainees to computational neuroscience through lectures. In the proposed supplement we would provide a deeper immersion through four inter-related course modules delivered through a combination of in-person and virtual modalities that maximizes the 10-week summer training period.

项目摘要 在过去40年中，所有类型的联邦投资在与病理的战斗中 HIV-1的后果使人们希望很快能够实现治愈方法。但是，那些 目前与艾滋病毒的生活和衰老继续表现出使人衰弱的健康影响 负面影响生活质量。在神经系统并发症的背景下，患有艾滋病毒的人 1还可能患有心血管，肺部，骨骼和肾脏疾病，表明多个 人体系统继续受到影响的目的地抗逆转录病毒疗法的影响 传播。利用通过长期资源（例如国家）提供的大数据 生物技术信息中心（NCBI）和包括NIH在内的新来源 倡议将越来越广泛地包括在内，并用于测试关键假设， 许多来自实验室的研究。如最近的NIH报告中所讨论的 数据科学的战略计划，快速技术进步和背心的收集 基因组和基因表达和其他类型的生物学数据的量，它已经很长 认识到，对于生物医学研究人员的知识，有关各种数据库/存储库以及 以适当的处理，分析，存储，共享和报告调查结果的专业知识 严格和传播新知识，对于改善人类健康和 以更快的方式幸福感。在这方面，我们最近组装了一个由 神经科学的教师讨论如何加强计算中的培训 专业和博士学员的科学。从 讨论是考虑到不同程度的事先准备/暴露的程度 学员探索计算神经科学方面更高级概念的能力和很少 有关如何将工具应用于科学研究行为的指导。对于我们目前 资助R25，我们通过讲座将冠军学员引入了计算神经科学。 在拟议的补充剂中，我们将通过四个相互关联提供更深层次的浸入 通过面对面和虚拟方式结合提供的课程模块 最大化10周的夏季训练期。