@article{d876e1ee1cf340998c0517c80b12b358,
title = "The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services",
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.",
author = "Paolo Avesani and Brent McPherson and Soichi Hayashi and Caiafa, {Cesar F.} and Robert Henschel and Eleftherios Garyfallidis and Lindsey Kitchell and Daniel Bullock and Andrew Patterson and Emanuele Olivetti and Olaf Sporns and Saykin, {Andrew J.} and Lei Wang and Ivo Dinov and David Hancock and Bradley Caron and Yiming Qian and Franco Pestilli",
note = "Funding Information: This research was supported by NSF IIS-1636893, NSF BCS-1734853, NIH NIMH ULTTR001108, NIH NIMH U01MH097435, NIH NIMH 5 T32 MH103213, a Microsoft Research Award, a Google Cloud Award, the Indiana University Areas of Emergent Research initiative “Learning: Brains, Machines, Children”, and Pervasive Technology Institute to F.P. We thank Aman Arya, Steven O{\textquoteright}Riley and David Hunt for contributing to the development of https://brainlife.io, Craig Stewart, Winona Snapp-Childs, Charles A. McClary, and Jeremy Fischer for support with jetstream-cloud.org (NSF ACI-1445604), Melissa Cragin at the NSF Midwest Big Data Hub for coordination and support (NSF IIS-1550320). Data provided in part by the Human Connectome Project (NIH 1U54MH091657) and Brian Wandell (NSF BCS-1228397). Additional support to I.D. provided under NSF 1734853, NSF 1636840, P20 NR015331, U54 EB020406, P50 NS091856, P30 DK089503, P30AG053760. A.J.S. received support from the following NIH grants: P30 AG010133, R01 AG019771, R01 LM011360, R01 CA129769 and U01 AG024904. Publisher Copyright: {\textcopyright} 2019, The Author(s).",
year = "2019",
month = dec,
day = "1",
doi = "10.1038/s41597-019-0073-y",
language = "English (US)",
volume = "6",
journal = "Scientific data",
issn = "2052-4463",
publisher = "Nature Publishing Group",
number = "1",
}