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

Autores
Avesani, Paolo; McPherson, Brent; Hayashi, Soichi; Caiafa, César Federico; 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
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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-objectidentifier. 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
Fil: Avesani, Paolo. Fondazione Bruno Kessler,; Italia
Fil: McPherson, Brent. Indiana University; Estados Unidos
Fil: Hayashi, Soichi. Indiana University; Estados Unidos
Fil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Henschel, Robert. Indiana University Bloomington; Estados Unidos
Fil: Garyfallidis, Eleftherios. Indiana University Bloomington; Estados Unidos
Fil: Kitchell, Lindsey. Indiana University Bloomington; Estados Unidos
Fil: Bullock, Daniel. Indiana University Bloomington; Estados Unidos
Fil: Patterson, Andrew. Indiana University Bloomington; Estados Unidos
Fil: Olivetti, Emanuele. University of Trento; Italia
Fil: Sporns, Olaf. Indiana University Bloomington; Estados Unidos
Fil: Saykin, Andrew J.. Indiana University; Estados Unidos
Fil: Wang, Lei. Northwestern University Feinberg School of Medicine; Estados Unidos
Fil: Dinov, Ivo. Indiana University Bloomington; Estados Unidos
Fil: Hancock, David. Indiana University Bloomington; Estados Unidos
Fil: Caron, Bradley. Indiana University Bloomington; Estados Unidos
Fil: Qian, Yiming. Indiana University Bloomington; Estados Unidos
Fil: Pestilli, Franco. Indiana University; Estados Unidos
Materia
Diffusion Imaging
Magnetic resonance imaging
Tractography
Human connector
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/106100
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/106100
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud servicesAvesani, PaoloMcPherson, BrentHayashi, SoichiCaiafa, César FedericoHenschel, RobertGaryfallidis, EleftheriosKitchell, LindseyBullock, DanielPatterson, AndrewOlivetti, EmanueleSporns, OlafSaykin, Andrew J.Wang, LeiDinov, IvoHancock, DavidCaron, BradleyQian, YimingPestilli, FrancoDiffusion ImagingMagnetic resonance imagingTractographyHuman connectorhttps://purl.org/becyt/ford/3.4https://purl.org/becyt/ford/3We 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-objectidentifier. 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 scientificFil: Avesani, Paolo. Fondazione Bruno Kessler,; ItaliaFil: McPherson, Brent. Indiana University; Estados UnidosFil: Hayashi, Soichi. Indiana University; Estados UnidosFil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; ArgentinaFil: Henschel, Robert. Indiana University Bloomington; Estados UnidosFil: Garyfallidis, Eleftherios. Indiana University Bloomington; Estados UnidosFil: Kitchell, Lindsey. Indiana University Bloomington; Estados UnidosFil: Bullock, Daniel. Indiana University Bloomington; Estados UnidosFil: Patterson, Andrew. Indiana University Bloomington; Estados UnidosFil: Olivetti, Emanuele. University of Trento; ItaliaFil: Sporns, Olaf. Indiana University Bloomington; Estados UnidosFil: Saykin, Andrew J.. Indiana University; Estados UnidosFil: Wang, Lei. Northwestern University Feinberg School of Medicine; Estados UnidosFil: Dinov, Ivo. Indiana University Bloomington; Estados UnidosFil: Hancock, David. Indiana University Bloomington; Estados UnidosFil: Caron, Bradley. Indiana University Bloomington; Estados UnidosFil: Qian, Yiming. Indiana University Bloomington; Estados UnidosFil: Pestilli, Franco. Indiana University; Estados UnidosNature Publishing Group2019-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/106100Avesani, Paolo; McPherson, Brent; Hayashi, Soichi; Caiafa, César Federico; Henschel, Robert; et al.; The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services; Nature Publishing Group; Scientific Data; 6; 1; 5-2019; 1-132052-4463CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41597-019-0073-yinfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-019-0073-yinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:37:24Zoai:ri.conicet.gov.ar:11336/106100instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-17 11:37:24.939CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv 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
spellingShingle The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services
Avesani, Paolo
Diffusion Imaging
Magnetic resonance imaging
Tractography
Human connector
title_short 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_sort The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services
dc.creator.none.fl_str_mv Avesani, Paolo
McPherson, Brent
Hayashi, Soichi
Caiafa, César Federico
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 Avesani, Paolo
author_facet Avesani, Paolo
McPherson, Brent
Hayashi, Soichi
Caiafa, César Federico
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_role author
author2 McPherson, Brent
Hayashi, Soichi
Caiafa, César Federico
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
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Diffusion Imaging
Magnetic resonance imaging
Tractography
Human connector
topic Diffusion Imaging
Magnetic resonance imaging
Tractography
Human connector
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.4
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv 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-objectidentifier. 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
Fil: Avesani, Paolo. Fondazione Bruno Kessler,; Italia
Fil: McPherson, Brent. Indiana University; Estados Unidos
Fil: Hayashi, Soichi. Indiana University; Estados Unidos
Fil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Henschel, Robert. Indiana University Bloomington; Estados Unidos
Fil: Garyfallidis, Eleftherios. Indiana University Bloomington; Estados Unidos
Fil: Kitchell, Lindsey. Indiana University Bloomington; Estados Unidos
Fil: Bullock, Daniel. Indiana University Bloomington; Estados Unidos
Fil: Patterson, Andrew. Indiana University Bloomington; Estados Unidos
Fil: Olivetti, Emanuele. University of Trento; Italia
Fil: Sporns, Olaf. Indiana University Bloomington; Estados Unidos
Fil: Saykin, Andrew J.. Indiana University; Estados Unidos
Fil: Wang, Lei. Northwestern University Feinberg School of Medicine; Estados Unidos
Fil: Dinov, Ivo. Indiana University Bloomington; Estados Unidos
Fil: Hancock, David. Indiana University Bloomington; Estados Unidos
Fil: Caron, Bradley. Indiana University Bloomington; Estados Unidos
Fil: Qian, Yiming. Indiana University Bloomington; Estados Unidos
Fil: Pestilli, Franco. Indiana University; Estados Unidos
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-objectidentifier. 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
publishDate 2019
dc.date.none.fl_str_mv 2019-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/106100
Avesani, Paolo; McPherson, Brent; Hayashi, Soichi; Caiafa, César Federico; Henschel, Robert; et al.; The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services; Nature Publishing Group; Scientific Data; 6; 1; 5-2019; 1-13
2052-4463
CONICET Digital
CONICET
url http://hdl.handle.net/11336/106100
identifier_str_mv Avesani, Paolo; McPherson, Brent; Hayashi, Soichi; Caiafa, César Federico; Henschel, Robert; et al.; The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services; Nature Publishing Group; Scientific Data; 6; 1; 5-2019; 1-13
2052-4463
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41597-019-0073-y
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-019-0073-y
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.001348

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