Data Science Core

项目总结(数据科学核心) 数据科学核心(DSC)旨在通过以下方式支持控制结核病大流行的研究工作 扩大和加强以结核病为重点的数据科学。数据科学在广泛的 在生产性研究的迭代周期中的活动范围，包括研究设计、分析 开发、数据处理、统计分析、数据可视化、数学建模和 通报调查结果。DSC旨在通过建立改善数据的倡议来加强结核病的数据科学 科学素养和促进TRAC研究人员和结核病新数据之间的跨学科合作 科学家(目标1)，以及直接促进数据科学方法在结核病研究中的利用 (目标2)。目标1的目标也将通过虚拟培训和办公时间咨询来实现 作为年度半结构化、以结核病为重点的黑客周和聚会活动的组织。DSC将会 通过以下列形式向TRAC研究人员提供实际数据科学援助来实现目标2 有针对性的磋商、有限范围的催化分析和更广泛的合作努力。我们将支持这些 除联席主任外，还通过直接支持FHCRC和SCRI的数据科学家的部分工资来开展活动。 新的结核病数据科学合作也将得到不同的DSC学院合作伙伴的鼓励- 具有广泛研究结核病经验的数据科学专家。教师合作伙伴已同意提供他们的 在包括随机建模、软件等主题的协作和咨询方面的分析专业知识 开发、生物统计学、图像分析、实验室数据管理、结构生物学、系统生物学和 流行病学。额外的行业合作伙伴将帮助补贴这项工作的云计算成本，并帮助 就如何以及何时利用云计算资源对TRAC研究人员进行培训。结合在一起， DSC将建立的培训、社区建设和实践数据科学活动将协同工作 与TRAC的其他核心直接扩大结核病科学，在与结核病相关的问题上催化新的合作， 并扩大我们社区中结核病科学家的数量。

PROJECT SUMMARY (DATA SCIENCE CORE) The Data Science Core (DSC) aims to support research efforts to control the TB pandemic through expansion and enhancement of TB-focused data science. Data science plays an important role in a broad spectrum of activities throughout the iterative cycles of productive research, including study design, assay development, data processing, statistical analysis, data visualization, mathematical modeling, and communication of findings. The DSC aims to enhance data science for TB by building initiatives to improve data science literacy and catalyze cross-disciplinary collaborations between TRAC researchers and New-to-TB data scientists (Aim 1), as well as to directly enable increased utilization of data science approaches in TB research (Aim 2). Aim 1 objectives will be achieved through virtual trainings paired with office hour consultations, as well as the organization of annual semi-structured, TB-focused Hackweeks and meet-up events. The DSC will accomplish Aim 2 objectives by providing hands-on data science assistance to TRAC researchers in the form of targeted consultations, limited-scope catalytic analyses, and broader collaborative efforts. We will support these activities by directly supporting partial salary of data scientists at FHCRC and SCRI in addition to the co-directors. New-to-TB data science collaboration will also be encouraged by a diverse group of DSC Faculty Partners— data science experts who have extensive experience studying TB. Faculty Partners have agreed to provide their analytical expertise for collaborations and consultations in subjects that include stochastic modeling, software development, biostatistics, image analysis, lab data management, structural biology, systems biology, and epidemiology. An additional Industry Partner will help subsidize cloud-computing costs for this work and help train TRAC researchers on how and when to utilize cloud-computing resources. Together, the combination of training, community building, and hands-on data science activities that the DSC will establish will work in tandem with the other TRAC Cores to directly amplify TB science, catalyze new collaboration on TB-related questions, and expand the number of TB scientists in our community.