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

作者: Ivo D Dinov Dinov , Franco Pestilli Pestilli , Daniel Bullock Bullock , Paolo Avesani Avesani , Paolo Avesani

DOI: 10.1038/S41597-019-0073-Y

关键词:

摘要: 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 were generated modern diffusion-weighted magnetic resonance imaging (dMRI) with diverse properties resolution signal-to-noise ratio. In addition to data, we publish all pipelines (also referred as open cloud services). utilize methods for neuroimaging (diffusion-signal modelling, fiber tracking, tractography evaluation, white matter segmentation, structural connectome construction). O3D services can allow cognitive clinical neuroscientists run mapping algorithms on new, user-uploaded, data. source code implementing is also provided computational computer scientists reuse extend methods. Publishing both data-derivatives pipeline promotes practices scientific reproducibility upcycling by providing access research assets utilization multiple communities. Machine-accessible metadata file describing reported (ISA-Tab format)

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