University of South Carolina Big Data Health Science Conference

摘要 此应用程序请求R13资金支持在大学的国家大数据健康科学会议 南卡罗来纳州（USC）的五年（2024-2028）。本次大会是USC大数据的标志性活动 健康科学中心（BDHSC）。BDHSC是一个由内部资助的跨学科企业，成立于1999年。 2019年4月，通过以下方式促进和支持南加州大学和全州的大数据健康科学研究 能力发展，学术培训，专业发展，社区参与，以及 方法上的进步。基于我们在4次内部支持会议上的成功经验 （2020-2023年），该R13的总体目标是促进大数据健康科学研究的进一步发展 通过丰富的跨学科和多学科合作。根据其总体目标， 会议将：（1）创造一个多学科的科学场所，交流新的概念，方法， 结果，以鼓励共享来自大数据健康的理论，方法和实质性知识 科学研究;（2）确定迄今为止在这一领域研究不足的新问题，然后产生，促进， 并支持BDHS的创新;（3）通过生产新的和 跨学科出版物;以及（4）通过以下方式促进培训和指导机会方面的包容性卓越 参与和支持代表性不足的初级研究人员和学生参加会议。这一拟议 会议符合2021-2025财年NIH全战略计划的目标以及NIH的使命。 数据科学战略办公室，国家医学图书馆和其他NIH研究所，中心和官员。 为期5年的大数据健康科学会议系列将有助于NIH在其战略中描述的五大支柱 数据科学计划-支持高效和有效的数据基础设施;促进 数据资源生态系统;支持高级数据管理、分析 和可视化工具;加强生物医学数据科学的劳动力发展;并制定适当的 促进管理和可持续性的政策。

Abstract This application requests R13 funding support to the National Big Data Health Science Conferences at University of South Carolina (USC) for five years (2024-2028). This conference is a signature event of the USC Big Data Health Science Center (BDHSC). BDHSC is an intramurally funded interdisciplinary enterprise established in April 2019 that promotes and supports Big Data health science research at USC and across the state through capacity development, academic training, professional development, community engagement, and methodological advancement. Building on our successful experience with 4 intramurally-supported conferences (2020-2023), the overall goal of this R13 is to stimulate further advancements in Big Data health science research through rich interdisciplinary and multidisciplinary collaboration. Consistent with its overarching goal, the conference will: (1) create a multidisciplinary scientific venue for the exchange of new concepts, methods, and results to encourage the sharing of theoretical, methodological, and substantive knowledge from Big Data health science research; (2) identify new issues that are, to date, understudied in this area, and then generate, promote, and support innovation in BDHS; (3) expand impact and scholarly excellence by producing new and interdisciplinary publications; and (4) promote inclusive excellence in training and mentoring opportunities by engaging and supporting underrepresented junior investigators and students in the conference. This proposed conference aligns with the objectives of the NIH-Wide Strategic Plan for FY 2021-2025 as well as the mission of the Office of Data Science Strategy, National Library of Medicine, and other NIH Institutes, Centers, and Officers. The 5-year Big Data Health Science conference series will contribute to NIH’s five pillars described in its Strategic Plan for Data Science - support a highly efficient and effective data infrastructure; promote modernization of the data-resources ecosystem; support development and dissemination of advanced data management, analytics, and visualization tools; enhance workforce development for biomedical data science; and enact appropriate policies to promote stewardship and sustainability.