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The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services.

Paolo Avesani | Brent McPherson | Soichi Hayashi | Cesar F Caiafa | Robert Henschel | Eleftherios Garyfallidis | Lindsey Kitchell | Daniel Bullock | Andrew Patterson | Emanuele Olivetti | Olaf Sporns | Andrew J Saykin | Lei Wang | Ivo Dinov | David Hancock | Bradley Caron | Yiming Qian | Franco Pestilli
Scientific data | 2019

We describe the Open Diffusion Data Derivatives (O3D) repository: an integrated collection of preserved brain data derivatives and processing pipelines, published together using a single digital-object-identifier. The data derivatives were generated using modern diffusion-weighted magnetic resonance imaging data (dMRI) with diverse properties of resolution and signal-to-noise ratio. In addition to the data, we publish all processing pipelines (also referred to as open cloud services). The pipelines utilize modern methods for neuroimaging data processing (diffusion-signal modelling, fiber tracking, tractography evaluation, white matter segmentation, and structural connectome construction). The O3D open services can allow cognitive and clinical neuroscientists to run the connectome mapping algorithms on new, user-uploaded, data. Open source code implementing all O3D services is also provided to allow computational and computer scientists to reuse and extend the processing methods. Publishing both data-derivatives and integrated processing pipeline promotes practices for scientific reproducibility and data upcycling by providing open access to the research assets for utilization by multiple scientific communities.

Pubmed ID: 31123325

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None found

Associated grants

  • Agency: NIA NIH HHS, United States
    Id: P30 AG053760
  • Agency: NIMH NIH HHS, United States
    Id: U01 MH097435
  • Agency: NIA NIH HHS, United States
    Id: R01 AG019771
  • Agency: U.S. Department of Health & Human Services | NIH | National Institute on Minority Health and Health Disparities (NIMHD), International
    Id: ULTTR001108
  • Agency: NIBIB NIH HHS, United States
    Id: U54 EB020406
  • Agency: NSF | Directorate for Computer and Information Science and Engineering (Directorate for Computer & Information Science & Engineering), International
    Id: 1445604
  • Agency: NIA NIH HHS, United States
    Id: P30 AG010133
  • Agency: NSF | Directorate for Computer and Information Science and Engineering (Directorate for Computer & Information Science & Engineering), International
    Id: 1636893
  • Agency: NIA NIH HHS, United States
    Id: U01 AG024904
  • Agency: NIMH NIH HHS, United States
    Id: T32 MH103213
  • Agency: NINR NIH HHS, United States
    Id: P20 NR015331
  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK089503
  • Agency: NLM NIH HHS, United States
    Id: R01 LM011360
  • Agency: NIMH NIH HHS, United States
    Id: U54 MH091657
  • Agency: NCI NIH HHS, United States
    Id: R01 CA129769
  • Agency: NINDS NIH HHS, United States
    Id: P50 NS091856
  • Agency: NSF | Directorate for Social, Behavioral & Economic Sciences | Division of Behavioral and Cognitive Sciences (Behavioral & Cognitive Sciences), International
    Id: 1734853

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GitHub (tool)

RRID:SCR_002630

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brainlife.io (data or information resource)

RRID:SCR_016513

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