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

项目摘要 该项目将在Canvas LMS上开发免费，开放，自定进度的在线模块，用于暴露和 教育生物信息学学员的知识，通常被认为是正式的以外， 在传统的研究教育计划培训。所涉及的主题包括专业精神， 再现性和可复制性原则，卓越标准，技术写作技能，最佳实践 用于数据和代码共享，以及研究中的倡导。通过让受训者接触这些知识， 通常可以是机构性的，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） 支持更积极和参与的生物信息学研究队伍;（3）提供试点 其他生物信息学研究培训计划的课程，以实施自己的教育 设置. 在大多数正规教育机构中， 生物信息学培训。虽然研究培训中的一些补充责任行为 然而，其中许多侧重于实现合规性，而不是最佳做法。为了建立一个标准， 卓越的生物信息学研究，学员需要一种社区意识和知识， 生物医学研究的历史背景，以了解和激励卓越的需要， 生物信息学研究实践我们的模块将教授学员生物信息学 社区，以及如何让社区参与到一些场景中，这取决于他们的个人 有能力这样做。内容将被分解成至少12个主要模块，并将提出 作为一个视频，测验，音频采访，在家里练习，编码练习，和开放的组合- 获取阅读材料。所有考试/测验/作业将自动评分。拟议项目将 在职业生涯中的任何时候，都可以补充生物信息学教育的持续培训。提供 简短、在线、自定进度的模块允许用户将其结果与其他常见结果进行比较， 以及告知学员如何最有效地加入他们的地方，区域和国际 科学界讨论并让其他用户参与其方法。 通过解决学员通常会遇到的问题， 有关于“非正规”方面的研究培训，我们将实现更好的培训 参与，因此更有效的“负责任的研究行为”的经验， 提高生物信息学学员的专业能力。

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.