E-PACERR: ENHANCING PROFESSIONALISM, ADVOCACY, AND CAPACITY FOR EXCELLENCE IN RESPONSIBLE BIOINFORMATICS RESEARCH

项目总结 该项目将开发免费的，开放的，自定进度的在线模块在画布LMS上展示和 对生物信息学学员进行培训，使他们掌握通常被认为是非正规的知识 在传统的研究教育计划中接受培训。将涵盖的主题包括专业精神、 可复制和可复制的原则、卓越标准、技术写作技能、最佳做法 用于数据和代码共享，以及在研究中的倡导。通过让受训人员了解这一知识， 可以经常是制度性的，依赖于导师，我们将(1)建立对学员能力的信心 在自己的实验室、研究小组或工作场所进行可重复的研究；(2) 支持更活跃和更积极参与的生物信息学研究队伍；以及(3)提供试点 其他生物信息学研究培训计划的课程在自己的教育中实施 设置。 关于道德、负责任的研究或专业精神的直接培训在大多数正式课程中都明显缺失。 生物信息学方面的培训。虽然研究培训中的一些辅助性负责行为 虽然存在，但其中许多都侧重于实现合规，而不是最佳做法。要建立一个标准 优秀的生物信息学研究，学员需要社区意识和知识 生物医学研究的历史背景，以了解和激励对卓越的需求 实践中的生物信息学研究。我们的模块将教授学员有关生物信息学的知识 社区，以及如何根据他们的个人情况在许多情况下让社区参与进来 有能力做到这一点。内容将被分解为至少12个主要模块，并将被呈现 作为视频、测验、音频访谈、在家练习、编程练习和开放练习的组合- 获取阅读材料。所有考试/测验/作业都将自动评分。拟议的项目将 在职业生涯的任何时候都可以补充正在进行的生物信息学教育培训。规定 短的、在线的、自定进度的模块允许用户将他们的结果与其他常见的结果进行比较， 并告诉学员如何最有效地加入他们的本地、地区和国际 科学界讨论并让其他用户参与他们的方法。 通过回答学员通常提出的问题来展示此培训的价值 有关于‘非正规’方面的研究培训，我们会取得更好的实习生 参与，从而获得更有效的“负责任的研究行为”体验， 提高生物信息学实习生的专业能力。

PROJECT SUMMARY This project will develop free, open, self-paced online modules on the Canvas LMS for exposing and educating bioinformatics trainees on knowledge that is typically considered to be outside of formal training in a traditional research education program. The topics to be covered include professionalism, tenets of reproducibility and replicability, standards for excellence, technical writing skills, best practices for data and code sharing, and advocacy in research. By exposing trainees to this knowledge, which can often be institutional and dependent on mentorship, we will (1) build confidence in trainees' ability to perform reproducible research in their own laboratory, research group, or workplace setting; (2) support a more active and engaged bioinformatics research workforce; and (3) provide a piloted curriculum for other bioinformatics research training programs to implement in their own educational settings. Direct trainings on ethics, responsible research, or professionalism are notably absent in most formal training in bioinformatics. While a number of supplementary responsible conduct in research trainings exist, many of these focus on achieving compliance instead of best practice. To build a standard of excellence in bioinformatics research, trainees need a sense of community and knowledge of the historical context of biomedical research to understand and motivate the need for excellence in bioinformatics research in practice. Our modules will teach trainees about the bioinformatics community, and how to engage that community in a number of scenarios depending on their personal ability to do so. Content will be broken down into a minimum of 12 major modules, and will be presented as a combination of videos, quizzes, audio interviews, at-home exercises, coding exercises, and open- access reading material. All exams/quizzes/assignments will be auto graded. The proposed project will serve to complement ongoing training in bioinformatics education at any point in one's career. Provision of short, online, self-paced modules allows the user to compare their results to other common results, as well as informing trainees how to most effectively join in their local, regional, and international science communities to discuss and engage other users on their approaches. By demonstrating the value of this training through addressing questions that trainees typically have about the `non-formal' aspects of research training, we will achieve better trainee engagement and therefore a more effective “responsible conduct in research” experience, improving professional competence in bioinformatics trainees.