Big Genomic Data Skills Training for Professors

教授大基因组数据技能培训

• 批准号: 9230619
• 负责人: Jeffrey Hsu-Min Chuang
• 金额: $ 13.32万
• 依托单位: JACKSON LABORATORY
• 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 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9230619
• 关键词: Address; Arts; Award; Big Data; Big Data to Knowledge; Biological; Biological Models; Biology; Biomedical Research; Computational Biology; Connecticut; Data; Data Analyses; Data Set; Development; Education; Educational Curriculum; Educational process of instructing; Educational workshop; Faculty; Fostering; Genomic medicine; Genomics; Goals; Health; Historically Black Colleges and Universities; Home environment; Hour; Immersion Investigative Technique; Institution; Internet; Laboratory Scientists; Maine; Mammalian Genetics; Mathematics; Mission; Needs Assessment; Participant; Postdoctoral Fellow; Publishing; Research; Research Project Grants; Resources; Science; Scientist; Skills Development; Students; Teacher Professional Development; The Jackson Laboratory; Time; Training; United States; United States National Institutes of Health; Universities; academic program; base; big biomedical data; college; computer science; computing resources; data sharing; experience; flexibility; genomic data; improved; innovation; next generation; open source; professor; programs; research study; skill acquisition; skills; skills training; tool; undergraduate student; virtual

 DESCRIPTION (provided by applicant): The Jackson Laboratory requests NIH R25 support for an innovative three part educational program, Big Genomic Data Skills Training for Professors. The program will, 1) train undergraduate college and regional university faculty across biology, mathematics and computer science departments; 2) develop a flexible and modular curriculum that faculty can implement at their institutions and 3) engage a diverse student group through dynamic annual data challenges. The biomedical research enterprise requires a workforce that can access, manipulate, integrate and analyze big data; it is essential to train the next generation of scientists to fill this need. The proposed education program will stimulate big data skills training across dozens of institutions and hundreds if not thousands of students and provide a template for genomic big data training at colleges needing improved expertise. An intensive one week workshop will provide skills training to professors from small colleges and regional universities. Jackson Laboratory scientists and participants will use a collaborative, multi-disciplinary approach to develop, deliver and publish online a big data curriculum for implementation in undergraduate courses. Annual data challenges will foster team-based science where undergraduates compete across and between institutions and simultaneously gain research experience. Our needs assessment clearly demonstrates demand for this program across diverse institutions including Historically Black Colleges and Universities, Institutional Development Award (INBRE) institutions and small colleges. The Big Genomic Data Skills Training for Professors program will shift the focus of undergraduate training towards big data skills and raise the competencies of the biomedical workforce. To provide large- scale dissemination, all educational program content will be made available on a public, online resource.

 描述（由申请人提供）：杰克逊实验室要求NIH R25支持一个创新的三部分教育计划，教授大基因组数据技能培训。该计划将：1）在生物学，数学和计算机科学部门培训本科学院和区域大学教师; 2）开发教师可以在其机构实施的灵活和模块化课程; 3）通过动态的年度数据挑战吸引多样化的学生群体。生物医学研究企业需要能够访问、操作、整合和分析大数据的劳动力;培养下一代科学家来满足这一需求至关重要。拟议的教育计划将刺激数十家机构和数百名学生（如果不是数千名学生的话）的大数据技能培训，并为需要改进专业知识的大学提供基因组大数据培训模板。为期一周的密集讲习班将为来自小型学院和区域大学的教授提供技能培训。杰克逊实验室的科学家和参与者将使用协作、多学科的方法来在线开发、交付和发布大数据课程，以便在本科课程中实施。年度数据挑战将促进以团队为基础的科学，本科生在机构之间竞争，同时获得研究经验。我们的需求评估清楚地表明了不同机构对该计划的需求，包括历史上的黑人学院和大学，机构发展奖（INBRE）机构和小型学院。教授大基因组数据技能培训计划将把本科生培训的重点转向大数据技能，并提高生物医学劳动力的能力。为了提供大规模的传播，所有的教育节目内容都将在一个公共的在线资源上提供。