Curriculum in Biomedical Big Data: Skill Development and Hands-On Training

项目摘要 基因组学和生物医学的进步在分子水平上产生了大量的数据，尽管范围很广 电子病历的广泛实施大大增加了电子病历的数字文档 医疗保健信息本提案的目标是设计、开发和实施一种跨学科、 关于在健康和生物医学科学领域利用大数据的方法的短期培训计划。我们的 课程将安排为三个为期两周的暑期课程：1)“生物医学数据科学新兵训练营”；2) “以案例为基础的跨学科协作学习的针对性学习”，以及3)“整合、探索” 以及用于预测和发现的异类生物医学数据集的分析“。我们的节目将包括 五类知识：领域知识、计算、数据表示、数据可视化和数据 分析。这五个领域将整合在一个以原则为基础的互动学习环境中 以案例为基础的学习，遵循翻转的课堂范式。计划参与者将从以下地点招募 在生物医学信息学、分子生物学、人口健康科学和临床培训人员中 调查。我们的课程将使合作的科学家更好地理解科学语言 在其他学科中使用。这将加强沟通，促进发展的协同效应 这种环境有助于提高研究性研究的整体质量。在完成我们的短期计划后 培训后，参与者将有能力引导自己的大数据研究项目，参加团队 解决生物医学中的大数据问题，并在生物医学数据科学方面进行额外的培训。这个 犹他大学凭借其卓越的学术协作能力，是开展这项培训的理想场所 环境。该大学是美国历史最悠久的学术生物医学信息学系的所在地， InterMountain Healthcare是公认的将信息学整合到临床护理中的世界领导者之一， 而退伍军人事务部盐湖区是退伍军人事务部主要信息学倡议的中心。来自这三个站点的研究人员是 聚集在一起培训下一代大数据专业人员，为推动数据驱动做好准备 医学中的分析。

Project Summary Advances in genomics and biomedical generate huge amounts of data at the molecular level, while wide spread implementation of electronic medical records has dramatically increased digital documentation of healthcare information The objective of this proposal is to design, develop, and implement a cross-disciplinary, short-term training program in methods for utilizing Big Data in the health and biomedical science domain. Our curriculum will be organized as three two-week summer sessions: 1) “biomedical data science boot camp”; 2) “Targeted Learning with Case-Based Interdisciplinary Collaborative Learning,” and 3) "Integration, Exploration and Analysis of Heterogeneous Biomedical Data Sets for Prediction and Discovery”. Our program will include five knowledge categories: domain knowledge, computation, data representation, data visualization, and data analysis. These five areas will be integrated within an interactive learning environment that builds on principles of case-based learning and follows a flipped classroom paradigm. Program participants will be recruited from among trainees in biomedical informatics, molecular biology, population health sciences, and clinical investigation. Our curriculum will enable collaborating scientists to better comprehend the scientific language utilized in other disciplines. This will enhance communication and facilitate development of a synergistic environment which leads to improved overall quality of research studies. Upon completion of our short-term training, participants will be equipped to bootstrap their own big data research projects, participate in teams tackling big data problems in biomedicine, and pursue additional training in biomedical data sciences. The University of Utah is an ideal place for conducting this training with its superb collaborative academic environment. The University is home to the oldest academic biomedical informatics department in the country, Intermountain Healthcare is recognized as one of the world leaders in integrating informatics into clinical care, and the Salt Lake VA, is the center of VA's major informatics initiatives. Researchers from these three sites are being brought together to train the next generation of big data professionals equipped to propel data-driven analytics in medicine.