课题基金 / 基金详情

Genomic Research and Data Science Center for Computation and Cloud-Computing

Genomic Research and Data Science Center for Computation and Cloud-Computing
基因组研究和数据科学计算和云计算中心
批准号:
10672802
负责人:
Christopher Doss
金额:
$147.63万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2028-06-30

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中文摘要
翻译
后基因组时代已经改变了生物学,医学和生物医学科学,这一进步是 越来越多地受到内部建立的跨学科协作技术驱动的数据库的随时访问的驱动 计算基因组学、数据科学和云计算的加速融合。目前迫切 需要在这一领域培训下一代科学研究人员,并有效利用我们的 全国人才库。然而,在当今的生物医学劳动力中,仍然存在着独特的STEM和多样性差距 以及计算基因组学、数据科学和云培训的变革性需求 计算机(CGDSCC)招募历史上被边缘化的人群。CGDSCC学生和教师培训 在历史上黑人学院和大学(HBCU)和少数民族学生服务(MSI)之间受到限制 机构职能体系这是由于缺乏有组织的资源,如在这些学科受过培训的教师, 计算资源,以及进行基因组研究所需的仪器, CGDSCC学生实践培训。在这一建议中,我们寻求提供教育和手- 在计算基因组学、数据科学和云计算方面的研究培训和资源 计算为未来的劳动力,特别是在服务不足的学生群体, 北卡罗来纳州农业和技术州立大学和其他目标HBCU/MSI 机构职能体系我们已经与3 HBCU的,北卡罗来纳州中央大学,温斯顿塞勒姆州立大学 香港中文大学及逸夫大学作为初步选址/目标院校。如果出现以下情况,将招募其他研究中心 提案得到资助。通过创建基因组研究和数据科学计算中心, 和云计算(GRADS-4C),我们将开发和传播基于云的CGDSCC教学 材料与我们的GRADS-4C附属教师制作的目标机构。这将是完成 通过与对教育感兴趣的目标机构建立持久的伙伴关系, CGDSCC的教师发展和学生教育和研究培训。我们还将发展和 传播其他基于云的开源CGDSCC教育资源,这些资源可以与NIH一起使用 目标机构的工作流程。我们特别准备好开展拟议的工作,因为 我们组建了一支由专家科学家、教育工作者、合作者和顾问组成的独特团队。这一创新 工作旨在正式培训未来的劳动力,这些劳动力来自少数民族机构服务不足的人口, 尖端的CGDS和云计算教育和实践研究,这是没有尝试过的, 特别是在MSI作为领导机构之前完成的。该项目的成功完成将是 意义重大,因为它将从一个扩大的、更广泛的 多样化的员工队伍,随时准备解决需要CGDSCC并从中受益的复杂生物医学/社会问题 方法。 1
英文摘要
The post-genomic era has transformed biology, medicine and biomedical sciences with this advancement being increasingly driven by ready access to interdisciplinary collaborative technology-driven databases built within the accelerating convergence of computational genomics, data sciences, and cloud computing. There is an urgent need for training the upcoming generation of scientific researchers in this area and effectively drawing upon our nationwide talent pool. Yet, there remains a distinctive STEM and diversity gap in today’s biomedical workforce and associated need for transformative change in training in computational genomics, data sciences, and cloud computing (CGDSCC) to recruit historically marginalized populations. CGDSCC student and faculty training has been limited among historically black colleges and universities (HBCU) and minority student serving (MSI) institutions. This is due to a lack of organized resources such as faculty trained in these disciplines, adequate computing resources, and the instrumentation for conducting genomic research needed to achieve impactful hands-on CGDSCC student training. In this proposal we seek to provide the educational and hands- on research training and resources in computational genomics, data sciences, and cloud computing for the future workforce, particularly among underserved student populations at North Carolina Agricultural and Technical State University and other target HBCU/MSI institutions. We have partnered with 3 HBCU’s, North Carolina Central University, Winston Salem State University and Shaw University, as initial site/target institutions. Additional sites will be recruited if this proposal is funded. Through the creation of the Genomic Research and Data Science Center for Computation and Cloud-Computing (GRADS-4C) we will develop and disseminate cloud-based CGDSCC instructional materials produced with our GRADS-4C affiliated faculty to Target Institutions. This will be accomplished through the establishment of lasting partnerships with target institutions interested in education, facilitation of faculty development and student educational and research training in CGDSCC. We shall also develop and disseminate additional cloud based open source CGDSCC educational resources that can be used with NIH workflows for the Target Institutions. We are particularly well-prepared to undertake the proposed work due to the unique team of expert scientists, educators, collaborators, and advisors we have assembled. This innovative work seeks to formally train the future workforce from underserved populations at minority institutions in cutting edge CGDS and cloud computing education and hand-on research which has not been attempted or accomplished before particularly with MSI’s as lead institution. Successful completion of this project will be of high significance, since it will boost greater overall capacity and critical engagement from an expanded, more diverse workforce ready to solve complex biomedical/society problems requiring and benefitting from CGDSCC approaches. 1
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