Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data

Historically, research databases have existed in isolation with no practical avenue for sharing or pooling medical data into high dimensional datasets that can be efficiently compared across databases. To address this challenge, the Ontario Brain Institute’s “Brain-CODE” is a large-scale neuroinformatics platform designed to support the collection, storage, federation, sharing and analysis of different data types across several brain disorders, as a means to understand common underlying causes of brain dysfunction and develop novel approaches to treatment. By providing researchers access to aggregated datasets that they otherwise could not obtain independently, Brain-CODE incentivizes data sharing and collaboration and facilitates analyses both within and across disorders and across a wide array of data types, including clinical, neuroimaging and molecular. The Brain-CODE system architecture provides the technical capabilities to support (1) consolidated data management to securely capture, monitor and curate data, (2) privacy and security best-practices, and (3) interoperable and extensible systems that support harmonization, integration, and query across diverse data modalities and linkages to external data sources. Brain-CODE currently supports collaborative research networks focused on various brain conditions, including neurodevelopmental disorders, cerebral palsy, neurodegenerative diseases, epilepsy and mood disorders. These programs are generating large volumes of data that are integrated within Brain-CODE to support scientific inquiry and analytics across multiple brain disorders and modalities. By providing access to very large datasets on patients with different brain disorders and enabling linkages to provincial, national and international databases, Brain-CODE will help to generate new hypotheses about the biological bases of brain disorders, and ultimately promote new discoveries to improve patient care. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Anthony L. Vaccarino [verfasserIn] Moyez Dharsee [verfasserIn] Stephen Strother [verfasserIn] Don Aldridge [verfasserIn] Stephen R. Arnott [verfasserIn] Brendan Behan [verfasserIn] Costas Dafnas [verfasserIn] Fan Dong [verfasserIn] Kenneth Edgecombe [verfasserIn] Rachad El-Badrawi [verfasserIn] Khaled El-Emam [verfasserIn] Tom Gee [verfasserIn] Susan G. Evans [verfasserIn] Mojib Javadi [verfasserIn] Francis Jeanson [verfasserIn] Shannon Lefaivre [verfasserIn] Kristen Lutz [verfasserIn] F. Chris MacPhee [verfasserIn] Jordan Mikkelsen [verfasserIn] Tom Mikkelsen [verfasserIn] Nicholas Mirotchnick [verfasserIn] Tanya Schmah [verfasserIn] Christa M. Studzinski [verfasserIn] Donald T. Stuss [verfasserIn] Elizabeth Theriault [verfasserIn] Kenneth R. Evans [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Brain-CODE neuroinformatics big data electronic data capture open data

Übergeordnetes Werk:	In: Frontiers in Neuroinformatics - Frontiers Media S.A., 2008, 12(2018)
Übergeordnetes Werk:	volume:12 ; year:2018

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fninf.2018.00028

Katalog-ID:	DOAJ039287831

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allfieldsSound	10.3389/fninf.2018.00028 doi (DE-627)DOAJ039287831 (DE-599)DOAJcca763b2dc2c4ac89a5be1bc0d6bd059 DE-627 ger DE-627 rakwb eng RC321-571 Anthony L. Vaccarino verfasserin aut Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Historically, research databases have existed in isolation with no practical avenue for sharing or pooling medical data into high dimensional datasets that can be efficiently compared across databases. To address this challenge, the Ontario Brain Institute’s “Brain-CODE” is a large-scale neuroinformatics platform designed to support the collection, storage, federation, sharing and analysis of different data types across several brain disorders, as a means to understand common underlying causes of brain dysfunction and develop novel approaches to treatment. By providing researchers access to aggregated datasets that they otherwise could not obtain independently, Brain-CODE incentivizes data sharing and collaboration and facilitates analyses both within and across disorders and across a wide array of data types, including clinical, neuroimaging and molecular. The Brain-CODE system architecture provides the technical capabilities to support (1) consolidated data management to securely capture, monitor and curate data, (2) privacy and security best-practices, and (3) interoperable and extensible systems that support harmonization, integration, and query across diverse data modalities and linkages to external data sources. Brain-CODE currently supports collaborative research networks focused on various brain conditions, including neurodevelopmental disorders, cerebral palsy, neurodegenerative diseases, epilepsy and mood disorders. These programs are generating large volumes of data that are integrated within Brain-CODE to support scientific inquiry and analytics across multiple brain disorders and modalities. By providing access to very large datasets on patients with different brain disorders and enabling linkages to provincial, national and international databases, Brain-CODE will help to generate new hypotheses about the biological bases of brain disorders, and ultimately promote new discoveries to improve patient care. Brain-CODE neuroinformatics big data electronic data capture open data Neurosciences. Biological psychiatry. Neuropsychiatry Anthony L. Vaccarino verfasserin aut Moyez Dharsee verfasserin aut Stephen Strother verfasserin aut Stephen Strother verfasserin aut Don Aldridge verfasserin aut Stephen R. Arnott verfasserin aut Stephen R. Arnott verfasserin aut Brendan Behan verfasserin aut Costas Dafnas verfasserin aut Fan Dong verfasserin aut Fan Dong verfasserin aut Kenneth Edgecombe verfasserin aut Rachad El-Badrawi verfasserin aut Khaled El-Emam verfasserin aut Tom Gee verfasserin aut Tom Gee verfasserin aut Susan G. Evans verfasserin aut Mojib Javadi verfasserin aut Francis Jeanson verfasserin aut Shannon Lefaivre verfasserin aut Kristen Lutz verfasserin aut F. Chris MacPhee verfasserin aut Jordan Mikkelsen verfasserin aut Tom Mikkelsen verfasserin aut Nicholas Mirotchnick verfasserin aut Tanya Schmah verfasserin aut Christa M. Studzinski verfasserin aut Donald T. Stuss verfasserin aut Donald T. Stuss verfasserin aut Donald T. Stuss verfasserin aut Elizabeth Theriault verfasserin aut Kenneth R. Evans verfasserin aut In Frontiers in Neuroinformatics Frontiers Media S.A., 2008 12(2018) (DE-627)57982652X (DE-600)2452979-5 16625196 nnns volume:12 year:2018 https://doi.org/10.3389/fninf.2018.00028 kostenfrei https://doaj.org/article/cca763b2dc2c4ac89a5be1bc0d6bd059 kostenfrei https://www.frontiersin.org/article/10.3389/fninf.2018.00028/full kostenfrei https://doaj.org/toc/1662-5196 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2018
language	English
source	In Frontiers in Neuroinformatics 12(2018) volume:12 year:2018
sourceStr	In Frontiers in Neuroinformatics 12(2018) volume:12 year:2018
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Brain-CODE neuroinformatics big data electronic data capture open data Neurosciences. Biological psychiatry. Neuropsychiatry
isfreeaccess_bool	true
container_title	Frontiers in Neuroinformatics
authorswithroles_txt_mv	Anthony L. Vaccarino @@aut@@ Moyez Dharsee @@aut@@ Stephen Strother @@aut@@ Don Aldridge @@aut@@ Stephen R. Arnott @@aut@@ Brendan Behan @@aut@@ Costas Dafnas @@aut@@ Fan Dong @@aut@@ Kenneth Edgecombe @@aut@@ Rachad El-Badrawi @@aut@@ Khaled El-Emam @@aut@@ Tom Gee @@aut@@ Susan G. Evans @@aut@@ Mojib Javadi @@aut@@ Francis Jeanson @@aut@@ Shannon Lefaivre @@aut@@ Kristen Lutz @@aut@@ F. Chris MacPhee @@aut@@ Jordan Mikkelsen @@aut@@ Tom Mikkelsen @@aut@@ Nicholas Mirotchnick @@aut@@ Tanya Schmah @@aut@@ Christa M. Studzinski @@aut@@ Donald T. Stuss @@aut@@ Elizabeth Theriault @@aut@@ Kenneth R. Evans @@aut@@
publishDateDaySort_date	2018-01-01T00:00:00Z
hierarchy_top_id	57982652X
id	DOAJ039287831
language_de	englisch
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callnumber-first	R - Medicine
author	Anthony L. Vaccarino
spellingShingle	Anthony L. Vaccarino misc RC321-571 misc Brain-CODE misc neuroinformatics misc big data misc electronic data capture misc open data misc Neurosciences. Biological psychiatry. Neuropsychiatry Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data
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topic_title	RC321-571 Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data Brain-CODE neuroinformatics big data electronic data capture open data
topic	misc RC321-571 misc Brain-CODE misc neuroinformatics misc big data misc electronic data capture misc open data misc Neurosciences. Biological psychiatry. Neuropsychiatry
topic_unstemmed	misc RC321-571 misc Brain-CODE misc neuroinformatics misc big data misc electronic data capture misc open data misc Neurosciences. Biological psychiatry. Neuropsychiatry
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title	Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data
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title_full	Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data
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title_sort	brain-code: a secure neuroinformatics platform for management, federation, sharing and analysis of multi-dimensional neuroscience data
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title_auth	Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data
abstract	Historically, research databases have existed in isolation with no practical avenue for sharing or pooling medical data into high dimensional datasets that can be efficiently compared across databases. To address this challenge, the Ontario Brain Institute’s “Brain-CODE” is a large-scale neuroinformatics platform designed to support the collection, storage, federation, sharing and analysis of different data types across several brain disorders, as a means to understand common underlying causes of brain dysfunction and develop novel approaches to treatment. By providing researchers access to aggregated datasets that they otherwise could not obtain independently, Brain-CODE incentivizes data sharing and collaboration and facilitates analyses both within and across disorders and across a wide array of data types, including clinical, neuroimaging and molecular. The Brain-CODE system architecture provides the technical capabilities to support (1) consolidated data management to securely capture, monitor and curate data, (2) privacy and security best-practices, and (3) interoperable and extensible systems that support harmonization, integration, and query across diverse data modalities and linkages to external data sources. Brain-CODE currently supports collaborative research networks focused on various brain conditions, including neurodevelopmental disorders, cerebral palsy, neurodegenerative diseases, epilepsy and mood disorders. These programs are generating large volumes of data that are integrated within Brain-CODE to support scientific inquiry and analytics across multiple brain disorders and modalities. By providing access to very large datasets on patients with different brain disorders and enabling linkages to provincial, national and international databases, Brain-CODE will help to generate new hypotheses about the biological bases of brain disorders, and ultimately promote new discoveries to improve patient care.
abstractGer	Historically, research databases have existed in isolation with no practical avenue for sharing or pooling medical data into high dimensional datasets that can be efficiently compared across databases. To address this challenge, the Ontario Brain Institute’s “Brain-CODE” is a large-scale neuroinformatics platform designed to support the collection, storage, federation, sharing and analysis of different data types across several brain disorders, as a means to understand common underlying causes of brain dysfunction and develop novel approaches to treatment. By providing researchers access to aggregated datasets that they otherwise could not obtain independently, Brain-CODE incentivizes data sharing and collaboration and facilitates analyses both within and across disorders and across a wide array of data types, including clinical, neuroimaging and molecular. The Brain-CODE system architecture provides the technical capabilities to support (1) consolidated data management to securely capture, monitor and curate data, (2) privacy and security best-practices, and (3) interoperable and extensible systems that support harmonization, integration, and query across diverse data modalities and linkages to external data sources. Brain-CODE currently supports collaborative research networks focused on various brain conditions, including neurodevelopmental disorders, cerebral palsy, neurodegenerative diseases, epilepsy and mood disorders. These programs are generating large volumes of data that are integrated within Brain-CODE to support scientific inquiry and analytics across multiple brain disorders and modalities. By providing access to very large datasets on patients with different brain disorders and enabling linkages to provincial, national and international databases, Brain-CODE will help to generate new hypotheses about the biological bases of brain disorders, and ultimately promote new discoveries to improve patient care.
abstract_unstemmed	Historically, research databases have existed in isolation with no practical avenue for sharing or pooling medical data into high dimensional datasets that can be efficiently compared across databases. To address this challenge, the Ontario Brain Institute’s “Brain-CODE” is a large-scale neuroinformatics platform designed to support the collection, storage, federation, sharing and analysis of different data types across several brain disorders, as a means to understand common underlying causes of brain dysfunction and develop novel approaches to treatment. By providing researchers access to aggregated datasets that they otherwise could not obtain independently, Brain-CODE incentivizes data sharing and collaboration and facilitates analyses both within and across disorders and across a wide array of data types, including clinical, neuroimaging and molecular. The Brain-CODE system architecture provides the technical capabilities to support (1) consolidated data management to securely capture, monitor and curate data, (2) privacy and security best-practices, and (3) interoperable and extensible systems that support harmonization, integration, and query across diverse data modalities and linkages to external data sources. Brain-CODE currently supports collaborative research networks focused on various brain conditions, including neurodevelopmental disorders, cerebral palsy, neurodegenerative diseases, epilepsy and mood disorders. These programs are generating large volumes of data that are integrated within Brain-CODE to support scientific inquiry and analytics across multiple brain disorders and modalities. By providing access to very large datasets on patients with different brain disorders and enabling linkages to provincial, national and international databases, Brain-CODE will help to generate new hypotheses about the biological bases of brain disorders, and ultimately promote new discoveries to improve patient care.
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title_short	Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data
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Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data

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