Academic Leadership Award in Data Science and Discovery

数据科学与发现学术领导奖

基本信息

批准号：
9976726
负责人：
Yong-Fang Kuo
金额：
$ 13.49万
依托单位：
UNIVERSITY OF TEXAS MED BR GALVESTON
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-04-01 至 2021-03-10
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9976726
关键词：
Address Aging All of Us Research Program American Archives Area Award Baby Booms Bioinformatics Capsicum Certification Clinical Collaborations Communities Community Services Continuing Education Data Data Discovery Data Science Data Set Development Ecosystem Education Educational Curriculum Elderly Electronic Health Record Environment Faculty Funding Future Generations Goals Grant Growth Health Hispanics Information Technology Infrastructure Institutes Interdisciplinary Study Knowledge Leadership Learning Medical Mentors Methods Minority National Institute of Child Health and Human Development Older Population Outcome Outcomes Research Pilot Projects Population Postdoctoral Fellow Public Health Rehabilitation therapy Research Research Personnel Research Project Grants Resources Role SECTM1 gene Schools Scientist Sea Senior Scientist Strategic Planning Supervision System Technology Texas Training Training Activity Training and Education Translational Research United States National Institutes of Health Universities base career certificate program cohort data archive data enclave data resource data sharing data warehouse digital doctoral student early-career faculty epidemiology study experience graduate student health care service higher education improved member programs ranpirnase research study senior faculty service delivery skills student mentoring success

项目摘要

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.

抽象的该学术领导职业奖（K07）的长期目标是提高学术界的研究能力数据科学和发现的新兴领域，重点关注大型临床数据集和相关数据共享为了健康和衰老。短期目标是创造学习和研究机会，通过临床促进博士生、博士后研究员和早期职业教师的学术成功健康和老龄化背景。 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. 在目标 1 中，我将完成教育和培训活动，以扩展我的数据知识和技能科学。培训和教育将重点关注数据仓库和飞地的新发展包含汇总的电子健康记录 (EHR)、数据存储库和档案的增长完成了研究工作，并创建了大型临床和健康相关数据网络。目标 2 将涉及开发数据科学和发现证书的课程和课程，并具有关注健康和老龄化。该证书将通过研究生院提供学分德克萨斯大学医学分院并经德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，其中包括三个项目的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 NIH 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，包括美国老年人独立中心 (P30)、大数据研究中心（P2C）和转化科学研究所（U01）。试点项目 PI 和 K07 导师的计划和资助将为教师、研究员和研究生提供机会学生获得数据科学经验，与知名研究人员合作，并生成未来资助/研究的信息。作为学术领导职业奖的 PI，我拥有 30 年的临床和临床经验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，我作为 PI 持续获得联邦资助，并且我目前是两项研究资助（R01、P2C）和两项培训资助（K12、T32）的 PI，这些资助直接与学术领导职业奖的目标和目标。