Big Data U: Empowering Modern Biomedicine via Personalized Training

大数据U：通过个性化培训赋能现代生物医学

• 批准号: 9044624
• 负责人: John Darrell Van Horn
• 金额: $ 212.57万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2018-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9044624
• 关键词: Achievement; Award; Big Data; Biomedical Research; California; Collaborations; Communication; Communities; Consensus; Controlled Vocabulary; Data; Documentation; E-learning; Ecosystem; Educational Background; Educational workshop; Elements; Ensure; Environment; Evaluation; Feedback; Future Generations; Generations; Genomics; Group Processes; Harvest; Institutes; Internet; Knowledge; Learning; Maps; Metadata; Methods; Modeling; Ontology; Outcome; Pathway Analysis; Patient Self-Report; Positioning Attribute; Process; Public Health Informatics; Recording of previous events; Research; Research Infrastructure; Research Personnel; Research Training; Resources; Rotation; Science; Scientist; Semantics; Services; Statistical Models; Students; Support System; System; Techniques; Technology; Training; Training Activity; Training Programs; Training Support; Training and Education; United States National Institutes of Health; Universities; Update; Work; base; career development; citizen science; computer science; cost; data mining; design; educational atmosphere; empowered; experience; indexing; instrumentation; interest; member; novel; outreach; programs; public health relevance; social; success; tool; virtual; web site; working group

 DESCRIPTION (provided by applicant): In our rapidly evolving information era, methods for handling large quantities of data obtained in biomedical research have emerged as powerful tools for confronting critical research questions, with significant impacts in diverse domains ranging from genomics to health informatics to environmental research. The NIH's Big Data to Knowledge (BD2K) Training Consortium is expected to empower current and future generations of researchers with a comprehensive understanding of the data science ecosystem: the ability to explore, prepare, analyze, visualize, and interpret Big Data. To these ends, we propose a novel Training Coordinating Center (TCC) to coordinate the diverse activities occurring within the BD2K Training Consortium into a synergistic training effort. The TCC will create an inclusive and collaborative virtual environment - entitled "Big Data U" - serving trainees from a wide spectrum of educational backgrounds and scientific domains. Big Data U will make personalized educational resources easy accessible and facilitate novel research collaborations through scientific rotations. We will harvest the web to automatically identify, model, and incorporate online resources into an Educational Resource Discovery Index (ERuDIte) and a Big Data U Knowledge Map. This unique system will alleviate the burden of sifting through hundreds of educational resources and searching across multiple research and training program websites, allowing users to easily determine which resources are didactically significant and correspond to the appropriate scientific domain of interest, level of education, and learning objective. Over the long term, our efforts will cultivate a diverse network of data scientists that can propagate their knowledge and experience for generations to come. Our PI and team have a demonstrated commitment to training in biomedical data science. The University of Southern California is ideally suited to host this NIH BD2K effort, having a strong history of data science training and recently founded two new masters programs of relevance to Big Data biomedicine. The TCC is the logical extension of our outstanding track record in data science, and we will leverage our comprehensive experience and infrastructure in developing the TCC.

 描述（由适用提供）：在我们迅速发展的信息时代，处理在生物医学研究中获得的大量数据的方法已成为与关键研究问题面对关键研究问题的强大工具，对从基因组学到健康信息到环境研究的潜水领域产生了重大影响。 NIH对知识的大数据（BD2K）培训联盟有望使当前和未来的研究人员能够对数据科学生态系统有全面的了解：探索，准备，分析，可视化和解释大数据的能力。对于这些目的，我们提出了一个新颖的培训协调中心（TCC），以协调BD2K培训联盟内的潜水员活动，以进行协同的培训工作。 TCC将创建一个包容性和协作的虚拟环境 - 标题为“大数据U” - 为来自各种教育背景和科学领域的受训者提供服务。大数据U将使个性化的教育资源易于访问，并通过科学轮换促进新的研究合作。我们将恢复网络，以自动识别，建模并将在线资源纳入教育资源发现指数（博学）和大数据U知识图。这个独特的系统将减轻筛查数百个教育资源的燃烧，并在多个研究和培训计划网站上进行搜索，从而使用户可以轻松地确定哪些资源具有核切意义，并与适当的感兴趣的科学领域相对应，教育水平和学习目标。在 从长远来看，我们的努力将培养一个数据科学家的潜水网络，这些网络可以传播他们 几代人的知识和经验。我们的PI和团队表现出了对生物医学数据科学培训的表现。南加州大学非常适合举办这项NIH BD2K努力，具有较强的数据科学培训史，最近建立了两个与大数据生物医学相关的新硕士课程。 TCC是我们在数据科学方面杰出往绩的逻辑扩展，我们将利用我们在开发TCC方面的全面经验和基础架构。