Biomedical Informatics and Data Science Research Training Program (BIRT)

生物医学信息学和数据科学研究培训计划（BIRT）

• 批准号: 9529751
• 负责人: Alexa T. McCray
• 金额: $ 9.98万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9529751
• 关键词: Area; Bioinformatics; Biomedical Research; Boston; Clinical; Clinical Research; Collaborations; Complex; Dana-Farber Cancer Institute; Data; Data Science; Doctor of Philosophy; Environment; Faculty; Fellowship; General Hospitals; Grant; Health; Health Sciences; Healthcare; Hospitals; Individual; Informatics; International; Investigation; Israel; Laboratory Research; Massachusetts; Master' s Degree; Medical center; Medicine; Mentors; Monitor; Pediatric Hospitals; Public Health Informatics; Research; Research Activity; Research Personnel; Research Project Grants; Research Training; Schools; Stream; Students; Training; Training Programs; United States National Library of Medicine; Universities; Woman; Work; academic program; biomedical informatics; clinical care; clinical practice; experience; medical schools; member; pre-doctoral; programs; science education; systems research; working group

This proposal for the Harvard Biomedical Informatics and Data Science Research Training (BIRT) program recognizes that the field of biomedical informatics is an increasingly relevant, if not essential, field for medicine and research in the health sciences. The practice of clinical care and biomedical investigation each constitute complex enterprises that are dependent on the mastery of enormous data streams. There is a crucial need for trained individuals who are able to integrate, interpret, and act upon the large-scale, high-throughput, and complex data that are generated in the course of biomedical research and the practice of medicine. The primary aim of this proposal is to contribute to the cadre of highly trained independent and successful researchers in the field of biomedical informatics. This proposal builds on the strengths of our many years of National Library of Medicine (NLM) fellowship training. The current proposed program will be overseen and administered by the Department of Biomedical Informatics at Harvard Medical School (HMS) and will involve collaboration with faculty at HMS and its affiliated hospitals, including Beth Israel Deaconess Medical Center, Boston Children's Hospital, Brigham and Women's Hospital, Dana Farber Cancer Institute, and Massachusetts General Hospital. In addition, the program will work closely with other Harvard University Schools in the university-wide data science initiative, and, in particular, with its Data Science Education Working Group, of which the proposed PI is a member. We meet all requirements of the current NLM RFA, which focuses on those informatics areas that directly pertain to health-related application domains. The breadth and depth of our research laboratories, real-world clinical systems, research activities, academic programs, and experienced faculty provide an outstanding environment to mentor and instruct trainees in all four of the NLM-identified focus areas – healthcare informatics, translational bioinformatics, clinical research informatics, and public health informatics. We request support for a total of fifteen trainees per year: ten at the postdoctoral level and five at the predoctoral level. In addition, we propose to train four short-term trainees each summer. BIRT trainees work with internationally recognized faculty on high-profile grants and research projects. The program has a formal, required academic component, which includes the Master's degree for all postdoctoral trainees, and the PhD degree for all predoctoral students. Trainees' overall progression throughout the training period is closely monitored. Trainees are regularly evaluated through their course work and through progress on their research projects.

这项关于哈佛生物医学信息学和数据科学研究培训(BIRT)计划的提案 认识到生物医学信息学领域对医学来说是一个日益相关的领域，如果不是必要的话 以及健康科学方面的研究。临床护理实践和生物医学研究各自构成 依赖于掌握大量数据流的复杂企业。有迫切的需要 受过培训的人员，能够整合、解释大规模、高吞吐量和 在生物医学研究和医学实践过程中产生的复杂数据。这个 这项建议的主要目的是为培养一支训练有素、独立成功的干部队伍做出贡献 生物医学信息学领域的研究人员。 这项建议建立在我们多年来与美国国家医学图书馆(NLM)合作的优势之上 训练。目前提议的计划将由生物医学部监督和管理 并将与哈佛医学院(HMS)的教职员工合作，并将 附属医院，包括贝丝以色列女执事医疗中心、波士顿儿童医院、布里格姆和 妇女医院、达纳·法伯癌症研究所和马萨诸塞州综合医院。此外， 该计划将在全校范围内的数据科学倡议方面与哈佛大学的其他学院密切合作， 特别是其数据科学教育工作组，拟议的PI是该工作组的成员。我们 满足当前NLM RFA的所有要求，该RFA侧重于与以下内容直接相关的信息领域 到与健康相关的应用程序域。我们研究实验室的广度和深度，现实世界的临床 制度、研究活动、学术计划和经验丰富的教师提供了一个出色的环境 在NLM确定的所有四个重点领域-医疗保健信息学、 翻译生物信息学、临床研究信息学和公共卫生信息学。 我们要求每年总共支持15名实习生：10名博士后和5名博士后 博士前水平。此外，我们建议每年暑期培训四名短期学员。BIRT实习生工作 与国际公认的教师在备受瞩目的助学金和研究项目上合作。这个项目有一个正式的， 必需的学术部分，包括所有博士后实习生的硕士学位和博士学位 为所有博士后学生提供学位。学员在整个培训期间的整体进步是非常密切的 被监视着。通过课程作业和研究进展定期对学员进行评估 项目。