Data Science Training: the Essentials

项目摘要 在过去的40年里，联邦政府在与病态疾病的斗争中进行了各种投资 HIV-1的后果给人们带来了很快就能治愈的希望。然而，那些 目前，艾滋病毒携带者的生活和老龄化继续带来令人衰弱的健康影响 对生活质量产生负面影响。在神经系统并发症方面，艾滋病毒携带者- 1还可以患有心血管、肺部、骨骼和肾脏疾病 尽管抗逆转录病毒治疗在预防中取得成功，但人体系统仍受到影响 变速箱。利用国家数据中心等长期资源提供的大数据 生物技术信息中心(NCBI)，以及更新的来源，包括NIH我们所有人 主动性将越来越广泛地被纳入并用于检验关键假说， 其中许多都是基于实验室的研究得出的。正如美国国立卫生研究院最近发表的一份关于 数据科学的战略规划，日新月异的技术进步和海量的收藏 大量的基因组和基因表达以及其他类型的生物数据，它已经很长时间了 认识到对于生物医学研究人员来说，关于各种数据库/仓库的知识，以及 具备以下列方式正确处理、分析、存储、共享和报告调查结果的专业知识 都是严谨的，并传播新的知识，将对改善人类健康和 以更快的速度获得幸福。在这方面，我们最近组建了一个工作组，由 神经科学学院讨论如何加强计算培训 面向博士前和博士后实习生的科学。这项研究的发现之一 讨论是，鉴于先前准备/暴露的不同程度，在 学员在计算神经科学领域探索更高级概念的能力 关于如何将这些工具应用于行为的科学调查的指导。对于我们目前的 资助R25，我们通过讲座向博士后实习生介绍计算神经科学。 在拟议的补编中，我们将通过四个相互关联的 通过面对面和虚拟模式相结合的方式提供的课程模块 最大限度地利用10周的夏季训练期。

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.