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中文摘要
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摘要:遏制不可复制性,提高研究学科的效率和功效, 脑成像不仅需要新的技术和工具,还需要社区的强大组成部分, 参与和培训。在第一阶段(2016-2020年),ReproNim培训核心已经开发, 通过四次面对面的研讨会和一次 与OHBM,SfN和NeuroInformatics会议同步的一系列培训活动。我们还 在Moodle平台上开发了一个大规模在线开放课程(MOOC),以广泛传播我们的培训 材料,并与国际合作推出了“培训培训师”奖学金计划, 神经信息学协调机构(INCF)。大多数ReproNim研究员(21人中有18人)报告说, 组织培训活动;迄今为止,仅研究员就培训了500多名受训人员。在第一阶段, 我们还了解了哪些活动在传播ReproNim培训方面最有效。在下一阶段, 我们建议从三个方面扩展和补充我们以前的工作。一是多发展 全面的材料,适合不同的学员背景。我们将使用特定的公共密钥用户 故事,以开发材料,展示如何通过结合使用 ReproTools。第二,承认在有限的资源下,我们不能只依靠培训每个人, 通过我们自己的研讨会,我们将致力于通过1)推出更多的 我们的MOOC的完整版本,以及2)扩展我们的培训培训师奖学金计划, 金字塔计划,这样我们的研究员不仅在当地环境中开发教育计划, 利用培训师培训材料开展自己的培训师计划。第三,由于材料 不断以分布式方式开发,并且需要更新,我们将实现更好的可查找性 通过编制一份附有说明的链接清单, 培训资源。在实现这些目标的同时,我们将建立一个由受训者和(未来) 培训师能够参与可重复神经影像学研究的开发、传播和使用 实践和工具。
英文摘要
SUMMARY: Curbing irreproducibility and increasing efficiency and efficacy in research disciplines relying on brain imaging requires not only new technologies and tools, but also a strong component of community engagement and training. During the first phase (2016-2020) the ReproNim training core has developed and disseminated educational material for reproducible neuroimaging through four in-person workshops and a series of training activities timed with the OHBM, SfN, and NeuroInformatics conferences. We have also developed a Massively Online Open course (MOOC) on the Moodle platform to widely disseminate our training material, and have launched the “Train the Trainer” fellowship program in partnership with the International Neuroinformatics Coordinating Facility (INCF). Most ReproNim Fellows (18 out of 21) reported they are organizing training events; to date Fellows alone have trained well over 500 trainees . During this first phase, we also learned which activities were the most efficient in disseminating ReproNim training. In the next phase, we propose to extend and complement our previous work in three directions. First, we will develop more comprehensive material, adapted to different trainee backgrounds. We will use specific common key user stories to develop materials that will demonstrate how these can be answered with the combined use of the ReproTools. Second, acknowledging that with limited resources we cannot only rely on training everyone through our own workshops, we will be working on scalable solutions to training by 1) rolling out a more complete version of our MOOC, and 2) extending our Train the Trainer fellowship program to operate a pyramid scheme, such that our Fellows not only develop educational programs in their local environs, but leverage the Train-the-Trainer materials to conduct their own Trainer programs. Third, as materials are being constantly developed in a distributed manner and need to be up-to-date, we will implement better findability and accessibility to updated training material through the development of an inventory of annotated links to training resources. While working on these goals, we will be building a community of trainees and (future) trainers able to participate in the development, dissemination and use of reproducible neuroimaging research practices and tools.
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Building a data science workforce to improve the reproducibility of rehabilitation research
  • 批准号:
    10576927
  • 项目类别:
  • 资助金额:
    $16.27万
  • 财政年份:
    2022
  • 负责人:
    David Nelson Kennedy
  • 依托单位:
Building a data science workforce to improve the reproducibility of rehabilitation research
  • 批准号:
    10409273
  • 项目类别:
  • 资助金额:
    $16.31万
  • 财政年份:
    2022
  • 负责人:
    David Nelson Kennedy
  • 依托单位:
ABCD Course on Reproducible Data Analyses
  • 批准号:
    10406015
  • 项目类别:
  • 资助金额:
    $8.64万
  • 财政年份:
    2020
  • 负责人:
    David Nelson Kennedy
  • 依托单位:
ABCD Course on Reproducible Data Analyses
  • 批准号:
    10044066
  • 项目类别:
  • 资助金额:
    $9.97万
  • 财政年份:
    2020
  • 负责人:
    David Nelson Kennedy
  • 依托单位:
海外基金