NCI Force 2016 Supplement

NCI Force 2016 增刊

• 批准号: 9207933
• 负责人: MELISSA A HAENDEL
• 金额: $ 5.4万
• 依托单位: OREGON HEALTH & SCIENCE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-29 至 2017-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9207933
• 关键词: Administrator; Back; Big Data; Big Data to Knowledge; Career Choice; Categories; Clinical Research; Communities; Computers; Data Science; Development; Discipline; Educational Curriculum; Educational Materials; Educational workshop; Electronic Health Record; Evaluation; Feedback; Foundations; Funding; Future; Goals; Health; Health Sciences; Healthcare Systems; Informatics; Information Sciences; Knowledge; Lead; Leadership; Learning; Librarians; Link; Maps; Needs Assessment; Occupations; Online Systems; Oregon; Public Health; Public Health Informatics; Research; Research Personnel; Resources; Science; Scientist; Source; Structure; Students; Training; Training Support; Translational Research; United States National Institutes of Health; Universities; base; biomedical informatics; career; computer science; experience; graduate student; interoperability; learning materials; programs; skills

DESCRIPTION: The overall goal of this project is to develop open educational resources for use in courses, programs, and related activities in Big Data to Knowledge (BD2K). The focus of the materials will be at the advanced introductory level, including such people as beginning informatics graduate students, established investigators and senior trainees seeking to learn more about data science to expand their research programs, advanced undergraduates exploring future career paths into data science, and established professionals who would benefit from knowledge of the application of BD2K concepts. The content developed will use the same format as the highly successful Office of the National Coordinator for Health IT (ONC) curriculum materials. The development of the materials was led by Oregon Health & Science University (OHSU) and four other universities, with support and dissemination led by OHSU. The PI of this proposal served as one of five PIs leading the development of content as well as lead for the ONC National Training and Dissemination Center (NTDC) that provided support and Web-based dissemination of the materials. The value of using the ONC Health IT Curriculum approach includes an open format that provides both "out of the box" content as well as the source materials for that content. This will also provide us the ability to map content from the new BD2K materials back to other content in the ONC curriculum, such as structure and function of the health care system, basic computer and information science, standards and interoperability, electronic health records, and project management and leadership. It will also enable us to build on the foundation of the ONC materials to emphasize the value of Big Data and analytical approaches in clinical and translational research. Finally, it will allow us to draw on the experience and leadership of OHSU and others who contributed to developing, evaluating, and disseminating the curricular content. In the project, we will carry out a needs assessment of a wide variety of potential BD2K users to refine our initial views on what should be part of a curriculum, develop and disseminate the curricular materials using the ONC curriculum format, evaluate the materials with all major user groups, build a community of users of the materials who can participate in evaluation and provide other feedback. We will repeat the cycle of needs assessment, development and dissemination, and evaluation for two 18-month periods.

描述：该项目的总体目标是开发开放的教育资源，用于大数据到知识（BD2K）的课程、项目和相关活动。教材的重点将放在高级入门水平，包括初学信息学的研究生、寻求更多数据科学知识以扩展其研究项目的资深研究人员和高级学员、探索未来数据科学职业道路的高级本科生，以及将受益于BD2K概念应用知识的专业人士。编写的内容将采用与国家卫生信息技术协调员办公室非常成功的课程材料相同的格式。材料的开发由俄勒冈健康与科学大学（OHSU）和其他四所大学领导，并由OHSU领导支持和传播。该提案的项目负责人是领导内容开发的五个项目负责人之一，也是ONC国家培训和传播中心（NTDC）的负责人，该中心为材料提供支持和基于网络的传播。使用ONC健康信息技术课程方法的价值包括一种开放格式，既提供“开箱即用”的内容，也提供该内容的原始材料。这也将使我们有能力将新的BD2K材料中的内容映射回ONC课程中的其他内容，如卫生保健系统的结构和功能、基础计算机和信息科学、标准和互操作性、电子健康记录以及项目管理和领导。这也将使我们能够在ONC材料的基础上，强调大数据和分析方法在临床和转化研究中的价值。最后，它将允许我们绘制