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 neuroinform...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2018-05-01
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| Series: | Frontiers in Neuroinformatics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fninf.2018.00028/full |
| _version_ | 1828776466295291904 |
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| author | Anthony L. Vaccarino Anthony L. Vaccarino Moyez Dharsee Stephen Strother Stephen Strother Don Aldridge Stephen R. Arnott Stephen R. Arnott Brendan Behan Costas Dafnas Fan Dong Fan Dong Kenneth Edgecombe Rachad El-Badrawi Khaled El-Emam Tom Gee Tom Gee Susan G. Evans Mojib Javadi Francis Jeanson Shannon Lefaivre Kristen Lutz F. Chris MacPhee Jordan Mikkelsen Tom Mikkelsen Nicholas Mirotchnick Tanya Schmah Christa M. Studzinski Donald T. Stuss Donald T. Stuss Donald T. Stuss Elizabeth Theriault Kenneth R. Evans |
| author_facet | Anthony L. Vaccarino Anthony L. Vaccarino Moyez Dharsee Stephen Strother Stephen Strother Don Aldridge Stephen R. Arnott Stephen R. Arnott Brendan Behan Costas Dafnas Fan Dong Fan Dong Kenneth Edgecombe Rachad El-Badrawi Khaled El-Emam Tom Gee Tom Gee Susan G. Evans Mojib Javadi Francis Jeanson Shannon Lefaivre Kristen Lutz F. Chris MacPhee Jordan Mikkelsen Tom Mikkelsen Nicholas Mirotchnick Tanya Schmah Christa M. Studzinski Donald T. Stuss Donald T. Stuss Donald T. Stuss Elizabeth Theriault Kenneth R. Evans |
| author_sort | Anthony L. Vaccarino |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T15:59:14Z |
| format | Article |
| id | doaj.art-cca763b2dc2c4ac89a5be1bc0d6bd059 |
| institution | Directory Open Access Journal |
| issn | 1662-5196 |
| language | English |
| last_indexed | 2024-12-11T15:59:14Z |
| publishDate | 2018-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroinformatics |
| spelling | doaj.art-cca763b2dc2c4ac89a5be1bc0d6bd0592022-12-22T00:59:21ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962018-05-011210.3389/fninf.2018.00028349386Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience DataAnthony L. Vaccarino0Anthony L. Vaccarino1Moyez Dharsee2Stephen Strother3Stephen Strother4Don Aldridge5Stephen R. Arnott6Stephen R. Arnott7Brendan Behan8Costas Dafnas9Fan Dong10Fan Dong11Kenneth Edgecombe12Rachad El-Badrawi13Khaled El-Emam14Tom Gee15Tom Gee16Susan G. Evans17Mojib Javadi18Francis Jeanson19Shannon Lefaivre20Kristen Lutz21F. Chris MacPhee22Jordan Mikkelsen23Tom Mikkelsen24Nicholas Mirotchnick25Tanya Schmah26Christa M. Studzinski27Donald T. Stuss28Donald T. Stuss29Donald T. Stuss30Elizabeth Theriault31Kenneth R. Evans32Ontario Brain Institute, Toronto, ON, CanadaIndoc Research, Toronto, ON, CanadaIndoc Research, Toronto, ON, CanadaIndoc Research, Toronto, ON, CanadaRotman Research Institute, Toronto, ON, CanadaCentre for Advanced Computing, Kingston, ON, CanadaIndoc Research, Toronto, ON, CanadaRotman Research Institute, Toronto, ON, CanadaOntario Brain Institute, Toronto, ON, CanadaCentre for Advanced Computing, Kingston, ON, CanadaIndoc Research, Toronto, ON, CanadaRotman Research Institute, Toronto, ON, CanadaCentre for Advanced Computing, Kingston, ON, CanadaIndoc Research, Toronto, ON, CanadaPrivacy Analytics Inc., Ottawa, ON, CanadaIndoc Research, Toronto, ON, CanadaRotman Research Institute, Toronto, ON, CanadaIndoc Research, Toronto, ON, CanadaIndoc Research, Toronto, ON, CanadaOntario Brain Institute, Toronto, ON, CanadaOntario Brain Institute, Toronto, ON, CanadaIndoc Research, Toronto, ON, CanadaCentre for Advanced Computing, Kingston, ON, CanadaIndoc Research, Toronto, ON, CanadaOntario Brain Institute, Toronto, ON, CanadaOntario Brain Institute, Toronto, ON, CanadaDepartment of Mathematics and Statistics, University of Ottawa, Ottawa, ON, CanadaOntario Brain Institute, Toronto, ON, CanadaOntario Brain Institute, Toronto, ON, CanadaRotman Research Institute, Toronto, ON, CanadaDepartments of Psychology and Medicine, University of Toronto, Toronto, ON, CanadaOntario Brain Institute, Toronto, ON, CanadaIndoc Research, Toronto, ON, CanadaHistorically, 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.https://www.frontiersin.org/article/10.3389/fninf.2018.00028/fullBrain-CODEneuroinformaticsbig dataelectronic data captureopen data |
| spellingShingle | Anthony L. Vaccarino Anthony L. Vaccarino Moyez Dharsee Stephen Strother Stephen Strother Don Aldridge Stephen R. Arnott Stephen R. Arnott Brendan Behan Costas Dafnas Fan Dong Fan Dong Kenneth Edgecombe Rachad El-Badrawi Khaled El-Emam Tom Gee Tom Gee Susan G. Evans Mojib Javadi Francis Jeanson Shannon Lefaivre Kristen Lutz F. Chris MacPhee Jordan Mikkelsen Tom Mikkelsen Nicholas Mirotchnick Tanya Schmah Christa M. Studzinski Donald T. Stuss Donald T. Stuss Donald T. Stuss Elizabeth Theriault Kenneth R. Evans Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data Frontiers in Neuroinformatics Brain-CODE neuroinformatics big data electronic data capture open data |
| title | Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data |
| title_full | Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data |
| title_fullStr | Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data |
| title_full_unstemmed | Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data |
| title_short | Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data |
| title_sort | brain code a secure neuroinformatics platform for management federation sharing and analysis of multi dimensional neuroscience data |
| topic | Brain-CODE neuroinformatics big data electronic data capture open data |
| url | https://www.frontiersin.org/article/10.3389/fninf.2018.00028/full |
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