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中文摘要
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总结 我们建议的NCBIB资源,ReproNim:可再现神经成像计算中心,寻求 继续推动神经影像学研究的执行和报告方式的转变。在第一个奖项 在此期间,我们成功地创建了一套重要的工具,制定了最佳做法,并培训了一批 用户,提高了许多研究的基线再现性。但还有更多的工作要做。通过 继续开发和实施技术,支持提高效率和效力, 更多的用户,我们扩展了我们全面的数据管理,分析和利用框架, 支持基础研究和临床活动。我们的首要目标是提高 神经影像科学的发展,扩大我们国家在神经影像研究方面的投资价值, 使调查过程更容易和更有效。繁殖能力至关重要,因为 当前的文献充满了由于错误(偶尔是不当行为)而发表的结果;或者 这是假阳性(由于缺乏统计能力)。更重要的是,鉴于目前 由于该系统是一个开放的出版系统,因此很难区分假阳性和真阳性结果作为数据 很难聚合,精确的方法也很难复制。 在这个行政核心中,我们寻求继续无缝和有效地管理整个 中心的业务。为了实现这一目标,我们将:1)提供日常的全面管理 2)提供持续的自我监督和外部核查我们的进展, 方向; 3)促进我们的技术发展,在国家和地区内听到我们的声音。 国际神经影像学、神经信息学和再现性研究团体。我们将在 与其他TR&D项目和合作与服务项目用户以及培训和 传播核心,以促进神经影像学中可再现框架的知识和使用 研究社区。
英文摘要
SUMMARY Our proposed NCBIB resource, ReproNim: A Center for Reproducible Neuroimaging Computation, seeks to continue to drive a shift in the way neuroimaging research is performed and reported. In the first award period, we have successfully created a substantial set of tools, developed best practices and trained a cadre of users that improves the baseline reproducibility of many studies. But there is more to do. Through the continued development and implementation of technology that supports more efficiency and effectiveness for more users, we extend our comprehensive set of data management, analysis and utilization frameworks in support of both basic research and clinical activities. Our overarching goal is to improve the reproducibility of neuroimaging science and extend the value of our national investment in neuroimaging research, while making the process easier and more efficient for investigators. Reproducibility is critical because the current literature is fraught with published results that are due to mistakes (occasionally misconduct); or turn out to be false positives (contributed to by the lack of statistical power). More importantly, given the current publication system, it is exceedingly difficult to discern between false positive and true positive finding as data is hard to aggregate, and exact methods are hard to replicate. In this Administration Core, we seek to continue to seamlessly and efficiently administer the overall operations of the Center. To accomplish this, we will: 1) Provide overall management of the day-to-day operations of the Center; 2) Provide continuous self-monitoring and external verification of our progress and direction; and 3) Promote our technological developments with a voice that is heard within the national and international neuroimaging, neuroinformatics and reproducibility research communities. We will work in partnership with the other TR&D projects and the Collaborative and Service Project users and the Training and Dissemination Core to foster knowledge of and use of the reproducible framework in the neuroimaging research community.
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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