ReproNim: A Center for Reproducible Neuroimaging Computation
ReproNim: A Center for Reproducible Neuroimaging Computation
批准号:
10334134
负责人:
David Nelson Kennedy
金额:
$18.03万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
未结题
起止时间:
2016-04-15 至 2026-08-31
关键词:
AdoptionAdvisory CommitteesAffectAgeAttentionBasic ScienceBehaviorBiomedical TechnologyBrainClinicalClinical ResearchCommunitiesDataData AnalysesData SetDecision MakingDevelopmentDiseaseEducational workshopEffectivenessEvaluationFirst Independent Research Support and Transition AwardsFosteringGoalsHearingHuman ResourcesInstitutionInternationalInvestmentsKnowledgeLiteratureMethodsMissionMonitorNational Institute of Biomedical Imaging and BioengineeringPhasePopulationProcessPublicationsPublishingReportingReproducibilityResearchResearch PersonnelResource DevelopmentResourcesScheduleScienceServicesStructureSystemTechnologyTimeTrainingTraining SupportUnited States National Institutes of HealthVoiceWorkdata managementdata sharingimprovedinformatics infrastructureinnovationmeetingsmemberneuroimagingneuroinformaticsoperationprogramsresearch studyresponsetechnology validationtoolworking group
中文摘要
摘要
我们建议的NCBIB资源,ReproNim:可复制神经成像计算中心,寻求
继续推动神经成像研究的进行和报告方式的转变。在一等奖中
在此期间,我们成功地创建了一套重要的工具,开发了最佳实践,并培训了一批
这提高了许多研究的基线重复性。但还有更多的事情要做。通过
继续开发和实施支持提高效率和效力的技术
更多用户,我们将我们全面的数据管理、分析和利用框架扩展到
支持基础研究和临床活动。我们的首要目标是提高重现性。
并扩大我们国家对神经成像研究的投资的价值,同时
使这一过程对调查人员来说更加容易和高效。可重复性是至关重要的,因为
目前的文献充斥着由于错误(偶尔是不当行为)而发布的结果;
被认为是假阳性(由缺乏统计能力造成)。更重要的是,鉴于目前
作为数据发布系统,很难区分假阳性和真阳性发现
很难汇总,准确的方法也很难复制。
在这个管理核心中,我们寻求继续无缝和高效地管理整体
该中心的运作。要做到这一点,我们将:1)提供日常的全面管理
中心的运作;2)对我们的进展提供持续的自我监测和外部核查
方向;以及3)促进我们的技术发展,在全国和
国际神经成像、神经信息学和可再生性研究社区。我们将在
与其他研发项目、协作和服务项目用户以及培训和服务项目用户建立伙伴关系
传播核心培养神经成像中可复制框架的知识和使用
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Building a data science workforce to improve the reproducibility of rehabilitation research
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批准号:10576927
-
项目类别:
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资助金额:$16.27万
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财政年份:2022
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负责人:David Nelson Kennedy
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依托单位:
Building a data science workforce to improve the reproducibility of rehabilitation research
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批准号:10409273
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资助金额:$16.31万
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财政年份:2022
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依托单位:
ABCD Course on Reproducible Data Analyses
-
批准号:10406015
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项目类别:
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资助金额:$8.64万
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财政年份:2020
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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
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负责人:David Nelson Kennedy
-
依托单位:
ABCD Course on Reproducible Data Analyses
-
批准号:10200738
-
项目类别:
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资助金额:$9.97万
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财政年份:2020
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负责人:David Nelson Kennedy
-
依托单位:
A FAIR Data and Metadata Foundation for Reproducible Research
-
批准号:10334135
-
项目类别:
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资助金额:$30.51万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
ReproNim: A Center for Reproducible Neuroimaging Computation
-
批准号:10482411
-
项目类别:
-
资助金额:$117.83万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
Center for Reproducible Neuroimaging Computation (CRNC)
-
批准号:8999833
-
项目类别:
-
资助金额:$135.53万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
Neuroimaging Informatics Tools and Resources Clearinghouse Outreach, Infrastructure, and Content Maintenance
-
批准号:9360121
-
项目类别:
-
资助金额:$58.72万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
Improving Research Efficiency through Better Descriptors
-
批准号:10334136
-
项目类别:
-
资助金额:$36.55万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
A FAIR Data and Metadata Foundation for Reproducible Research
-
批准号:10482415
-
项目类别:
-
资助金额:$29.27万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
ReproNim: A Center for Reproducible Neuroimaging Computation
-
批准号:10482432
-
项目类别:
-
资助金额:$10.04万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
Efficient and reproducible execution from data collection to processing
-
批准号:10482426
-
项目类别:
-
资助金额:$29.57万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
ReproNim: A Center for Reproducible Neuroimaging Computation
-
批准号:10482412
-
项目类别:
-
资助金额:$19.86万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
ReproNim: A Center for Reproducible Neuroimaging Computation
-
批准号:10334138
-
项目类别:
-
资助金额:$11.76万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
Center for Reproducible Neuroimaging Computation (CRNC)
-
批准号:9412833
-
项目类别:
-
资助金额:$125.32万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
Improving Research Efficiency through Better Descriptors
-
批准号:10482418
-
项目类别:
-
资助金额:$29.08万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
Enhancing neuroimaging reusability through semantic enrichment
-
批准号:10609329
-
项目类别:
-
资助金额:$21.73万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
Efficient and reproducible execution from data collection to processing
-
批准号:10334137
-
项目类别:
-
资助金额:$32.3万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
ReproNim: A Center for Reproducible Neuroimaging Computation
-
批准号:10334133
-
项目类别:
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资助金额:$129.14万
-
财政年份:2016
-
负责人:David Nelson Kennedy
-
依托单位:
海外基金