University of South Carolina Big Data Health Science Conference

摘要 此应用程序请求为在大学举行的全国大数据健康科学会议提供R13资金支持 南卡罗来纳州(南卡罗来纳州)为期五年(2024-2028)。此次会议是南加州大学大数据中心的标志性活动 健康科学中心(BDHSC)。BDHSC是一家内资跨学科企业，成立于 2019年4月，通过以下方式在南加州大学和全州促进和支持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 方法论的进步。以我们的成功经验为基础，举办了4次内部支持的会议 (2020-2023)，本次R13的总体目标是推动大数据健康科学研究的进一步进步 通过丰富的跨学科和多学科协作。与其首要目标一致的是， 会议将：(1)创建一个多学科的科学场所，以交流新的概念、方法和 鼓励共享大数据健康方面的理论、方法和实质性知识的成果 科学研究；(2)确定这一领域迄今未得到充分研究的新问题，然后产生、促进、 并支持BDHS的创新；(3)通过产生新的和 跨学科出版物；和(4)通过以下方式促进培训和指导机会的包容性卓越 吸引和支持代表不足的初级调查人员和学生参加会议。这项建议 会议与全美卫生研究院2021-2025财年战略计划的目标以及 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为NIH在其战略文件中描述的五大支柱做出贡献 数据科学计划-支持高效和高效的数据基础设施；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 促进管理和可持续发展的政策。

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.