Academic Leadership Award in Data Science and Discovery

摘要 这一学术领导事业奖(K07)的长期目标是增加 数据科学和发现的新兴领域，专注于大型临床数据集和与之相关的数据共享 为健康和衰老干杯。短期目标是创造学习和研究机会， 促进博士生、博士后研究员和早期职业教师在临床方面取得学术成功 健康和老龄化方面的背景。 K07的目标和活动与6月发布的NIH数据科学战略计划一致 2018年。在目标1中，我将完成教育和培训活动，以扩大我在数据方面的知识和技能 科学。培训和教育将侧重于数据仓库和飞地的新发展 包含聚合的电子健康记录(EHR)，数据存储库和归档的增长 已完成的研究研究，以及创建与临床和健康相关的大型数据网络。目标2将 包括开发课程和获得数据科学和发现证书的课程 注重健康和老龄化。证书将通过研究生院提供学分 得克萨斯大学医学分校和得克萨斯大学系统批准。目标3将涉及 制定数据科学和发现试点研究计划，其中将包括三项竞争性资助 每年进行试点研究。试点研究将由具有数据经验的UTMB资深科学家指导 国家卫生研究院战略计划中定义的科学。试点研究将涉及与现有NIH的合作 UTMB的中心和研究项目，包括老年美国人独立中心(P30)， 大数据研究中心(P2C)和翻译科学研究所(U01)。试点项目 PI和K07导师的计划和资助将为教师、研究员和毕业生提供机会 学生获得数据科学方面的经验，与知名研究人员协作，并生成 未来助学金/研究的信息。 作为学术领袖职业生涯奖的PI，我有30年的临床和 基于社区的成果研究、开发课程、指导博士生和指导 博士后研究员和早期职业教师。自1984年以来，我一直以私人侦探的身份接受联邦资金支持 我目前是两个研究补助金(R01，P2C)和两个培训补助金(K12，T32)的PI直接相关 学术领导力职业生涯奖的目的和目的。

ABSTRACT The long-term goal for this Academic Leadership Career Award (K07) is to increase research capacity in the emerging field of Data Science and Discovery with a focus on large clinical datasets and data sharing related to health and aging. The short-term objectives are to create learning and research opportunities that will facilitate the scholarly success of PhD students, postdoctoral fellows and early career faculty with clinical backgrounds in health and aging. The K07 objectives and activities are consistent with the NIH Strategic Plan for Data Science released June 2018. In Objective 1, I will complete education and training activities to expand my knowledge and skills in data science. The training and education will focus on new developments in data warehouses and enclaves containing aggregated electronic health records (EHRs), the growth in data repositories and archives of completed research studies, and the creation of large clinical and health related data networks. Objective 2 will involve developing a curriculum and courses leading to a Certificate in Data Science and Discovery with a focus on health and aging. The Certificate will be offered for credit through the Graduate School at the University of Texas Medical Branch and approved by the University of Texas System. Objective 3 will involve developing a Data Science and Discovery pilot study program that will include competitive funding for three pilot studies annually. The pilot studies will be mentored by senior UTMB scientists with experience in data science as defined in the NIH strategic plan. The pilot studies will involve collaboration with existing NIH centers and research programs at UTMB including the Older Americans Independence Center (P30), the Center for Large Data Research (P2C), and the Institute for Translational Sciences (U01). The pilot project program and grants of the PI and K07 mentors will provide opportunities for faculty, fellows and graduate students to gain experience in data science, collaborate with established investigators, and generate information for future grants/studies. As PI for the Academic Leadership Career Award, I have 30 years of experience conducting clinical and community based outcomes research, developing curricula, supervising PhD students, and mentoring postdoctoral fellows and early career faculty. I have received continuous federal funding as PI since 1984 and am currently the PI for two research grants (R01, P2C) and two training grants (K12, T32) directly related to the Academic Leadership Career Award objectives and aims.