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The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services
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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533280/ https://www.ncbi.nlm.nih.gov/pubmed/31123325 http://dx.doi.org/10.1038/s41597-019-0073-y |
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author | Avesani, Paolo McPherson, Brent Hayashi, Soichi Caiafa, Cesar F. Henschel, Robert Garyfallidis, Eleftherios Kitchell, Lindsey Bullock, Daniel Patterson, Andrew Olivetti, Emanuele Sporns, Olaf Saykin, Andrew J. Wang, Lei Dinov, Ivo Hancock, David Caron, Bradley Qian, Yiming Pestilli, Franco |
author_facet | Avesani, Paolo McPherson, Brent Hayashi, Soichi Caiafa, Cesar F. Henschel, Robert Garyfallidis, Eleftherios Kitchell, Lindsey Bullock, Daniel Patterson, Andrew Olivetti, Emanuele Sporns, Olaf Saykin, Andrew J. Wang, Lei Dinov, Ivo Hancock, David Caron, Bradley Qian, Yiming Pestilli, Franco |
author_sort | Avesani, Paolo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6533280 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65332802019-05-24 The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services Avesani, Paolo McPherson, Brent Hayashi, Soichi Caiafa, Cesar F. Henschel, Robert Garyfallidis, Eleftherios Kitchell, Lindsey Bullock, Daniel Patterson, Andrew Olivetti, Emanuele Sporns, Olaf Saykin, Andrew J. Wang, Lei Dinov, Ivo Hancock, David Caron, Bradley Qian, Yiming Pestilli, Franco Sci Data Data Descriptor 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. Nature Publishing Group UK 2019-05-23 /pmc/articles/PMC6533280/ /pubmed/31123325 http://dx.doi.org/10.1038/s41597-019-0073-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Avesani, Paolo McPherson, Brent Hayashi, Soichi Caiafa, Cesar F. Henschel, Robert Garyfallidis, Eleftherios Kitchell, Lindsey Bullock, Daniel Patterson, Andrew Olivetti, Emanuele Sporns, Olaf Saykin, Andrew J. Wang, Lei Dinov, Ivo Hancock, David Caron, Bradley Qian, Yiming Pestilli, Franco The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title | The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title_full | The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title_fullStr | The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title_full_unstemmed | The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title_short | The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title_sort | open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533280/ https://www.ncbi.nlm.nih.gov/pubmed/31123325 http://dx.doi.org/10.1038/s41597-019-0073-y |
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