Abstract
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.
Highlights
Background & SummaryIn the past decade, efforts in large-scale neuroimaging data collection have redirected research attention towards effective practices for data sharing, reuse, standardization and secondary data analyses
We propose a unique approach to brain data upcycling by presenting the Open Diffusion Data Derivatives (O3D), a repository composed of both data-derivatives and their associated processing pipelines, bundled together and referenced by a single digital object identifier (DOI43)
The O3D repository is unique in that it focuses on publishing repeated-measures data-derivatives for tractography, white matter tracts, and structural connectome matrices–all associated with open services publishing reproducible data processing pipelines and workflows
Summary
Efforts in large-scale neuroimaging data collection have redirected research attention towards effective practices for data sharing, reuse, standardization and secondary data analyses. The O3D repository is unique in that it focuses on publishing repeated-measures data-derivatives for tractography, white matter tracts, and structural connectome matrices–all associated with open services publishing reproducible data processing pipelines and workflows. The O3D reference repository will allow investigators from multiple scientific communities to explore brain data, perform visualization experiments, and replicate the data derivatives without having to first learn a full processing pipeline. This lowers the barrier of entry to computational neuroimaging, with the potential to advance algorithmic development, increase the involvement of underrepresented scholars, and to facilitate training and validation[16,98]. They can be used by communities of basic, clinical, translational and computational scientists including neuroscientists, students and trainees early in their careers[16,98,99]
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