Collaborative Research: CyberTraining: Pilot: Cybertraining to Develop FAIR Data Competencies for Bioengineering Students

数据驱动的方法在推进生物工程研究方面发挥着重要作用。生物工程网络培训计划为未来的研究人员和从业人员提供数据驱动的方法，这些方法可以应用于广泛的工程问题。该计划支持数据驱动的生物工程教育，促进包容性，并通过对本科生物工程学生的培训以及培训材料和实践项目数据的生成和发布来造福社会。该计划确保了广泛的受众，并促进了STEM领域的多样性。它通过强调团队建设，FAIR（可查找，可扩展，互操作和可重用）数据原则和现实世界的项目来推进数据驱动的生物工程教育。该计划提供了一个全面的课程，涵盖数据科学概念，工作流程，可视化，FAIR数据原则和分析，特别关注在生物工程领域应用这些原则。该计划包括一个靴子营地，一个为期10周的实践培训计划，并与海报比赛的研究研讨会。该计划强调团队建设，拓展到代表性不足的群体，并与行业合作伙伴的合作，使学生能够在现实世界中的数据驱动的生物工程项目工作。为期10周的培训计划包括三个部分：涵盖数据驱动生物工程原理的教学部分，补充教学部分的实践指导项目部分，以及基于团队的项目部分。这个以团队为基础的项目组成部分将学生团体与来自工业界和学术界的合作伙伴相匹配，让学生有机会研究真实的数据驱动的生物工程问题。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

Data-driven methods have a significant role in advancing bioengineering research. The bioengineering cyber training program equips future researchers and practitioners with data-driven methods that can be applied to a wide-range of engineering problems. The program supports data-driven bioengineering education, fosters inclusivity, and benefits society through the training of undergraduate bioengineering students and the generation and release of training material and hands-on project data. The program ensures accessibility to a wide audience and promotes diversity in STEM fields. It advances data-driven bioengineering education by emphasizing team building, FAIR (Findable, Accessible, Interoperable, and Reusable) data principles, and real-world projects.The program provides a comprehensive curriculum covering data science concepts, workflows, visualizations, FAIR data principles, and analytics, with a specific focus on applying these principles in the field of bioengineering. The program includes a boot camp, a 10-week hands-on training program, and a research symposium with a poster competition. The program emphasizes team building, outreach to underrepresented groups, and collaboration with industry partners to empower students and enable them to work on real-world data-driven bioengineering projects. The 10-week training program includes three components: an instructional component that covers the principles of data-driven bioengineering, a hands-on guided project component that complements the instruction part, and a team-based project component. The team-based project component matches student groups with partners from industry and academia to allow students the opportunity to work on real data-driven bioengineering problems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.