brainlife.io: A decentralized and open source cloud platform to support neuroscience research
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| Format: | Preprint |
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2023
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| author | Hayashi, Soichi Caron, Bradley A. Heinsfeld, Anibal Sólon Vinci-Booher, Sophia McPherson, Brent Bullock, Daniel N. Bertò, Giulia Niso, Guiomar Hanekamp, Sandra Levitas, Daniel Ray, Kimberly MacKenzie, Anne Kitchell, Lindsey Leong, Josiah K. Nascimento-Silva, Filipi Koudoro, Serge Willis, Hanna Jolly, Jasleen K. Pisner, Derek Zuidema, Taylor R. Kurzawski, Jan W. Mikellidou, Kyriaki Bussalb, Aurore Rorden, Christopher Victory, Conner Bhatia, Dheeraj Aydogan, Dogu Baran Yeh, Fang-Cheng F. Delogu, Franco Guaje, Javier Veraart, Jelle Bollman, Steffen Stewart, Ashley Fischer, Jeremy Faskowitz, Joshua Chaumon, Maximilien Fabrega, Ricardo Hunt, David McKee, Shawn Brown, Shawn T. Heyman, Stephanie Iacovella, Vittorio Mejia, Amanda F. Marinazzo, Daniele Craddock, R. Cameron Olivetti, Emanuele Hanson, Jamie L. Avesani, Paolo Garyfallidis, Eleftherios Stanzione, Dan Carson, James Henschel, Robert Hancock, David Y. Stewart, Craig A. Schnyer, David Eke, Damian O. Poldrack, Russell A. George, Nathalie Bridge, Holly Sani, Ilaria Freiwald, Winrich A. Puce, Aina Port, Nicholas L. Pestilli, Franco |
| author_facet | Hayashi, Soichi Caron, Bradley A. Heinsfeld, Anibal Sólon Vinci-Booher, Sophia McPherson, Brent Bullock, Daniel N. Bertò, Giulia Niso, Guiomar Hanekamp, Sandra Levitas, Daniel Ray, Kimberly MacKenzie, Anne Kitchell, Lindsey Leong, Josiah K. Nascimento-Silva, Filipi Koudoro, Serge Willis, Hanna Jolly, Jasleen K. Pisner, Derek Zuidema, Taylor R. Kurzawski, Jan W. Mikellidou, Kyriaki Bussalb, Aurore Rorden, Christopher Victory, Conner Bhatia, Dheeraj Aydogan, Dogu Baran Yeh, Fang-Cheng F. Delogu, Franco Guaje, Javier Veraart, Jelle Bollman, Steffen Stewart, Ashley Fischer, Jeremy Faskowitz, Joshua Chaumon, Maximilien Fabrega, Ricardo Hunt, David McKee, Shawn Brown, Shawn T. Heyman, Stephanie Iacovella, Vittorio Mejia, Amanda F. Marinazzo, Daniele Craddock, R. Cameron Olivetti, Emanuele Hanson, Jamie L. Avesani, Paolo Garyfallidis, Eleftherios Stanzione, Dan Carson, James Henschel, Robert Hancock, David Y. Stewart, Craig A. Schnyer, David Eke, Damian O. Poldrack, Russell A. George, Nathalie Bridge, Holly Sani, Ilaria Freiwald, Winrich A. Puce, Aina Port, Nicholas L. Pestilli, Franco |
| contents | Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR (Findable, Accessible, Interoperabile, and Reusable) data analysis to portions of the worldwide research community. brainlife.io was developed to reduce these burdens and democratize modern neuroscience research across institutions and career levels. Using community software and hardware infrastructure, the platform provides open-source data standardization, management, visualization, and processing and simplifies the data pipeline. brainlife.io automatically tracks the provenance history of thousands of data objects, supporting simplicity, efficiency, and transparency in neuroscience research. Here brainlife.io's technology and data services are described and evaluated for validity, reliability, reproducibility, replicability, and scientific utility. Using data from 4 modalities and 3,200 participants, we demonstrate that brainlife.io's services produce outputs that adhere to best practices in modern neuroscience research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2306_02183 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | brainlife.io: A decentralized and open source cloud platform to support neuroscience research Hayashi, Soichi Caron, Bradley A. Heinsfeld, Anibal Sólon Vinci-Booher, Sophia McPherson, Brent Bullock, Daniel N. Bertò, Giulia Niso, Guiomar Hanekamp, Sandra Levitas, Daniel Ray, Kimberly MacKenzie, Anne Kitchell, Lindsey Leong, Josiah K. Nascimento-Silva, Filipi Koudoro, Serge Willis, Hanna Jolly, Jasleen K. Pisner, Derek Zuidema, Taylor R. Kurzawski, Jan W. Mikellidou, Kyriaki Bussalb, Aurore Rorden, Christopher Victory, Conner Bhatia, Dheeraj Aydogan, Dogu Baran Yeh, Fang-Cheng F. Delogu, Franco Guaje, Javier Veraart, Jelle Bollman, Steffen Stewart, Ashley Fischer, Jeremy Faskowitz, Joshua Chaumon, Maximilien Fabrega, Ricardo Hunt, David McKee, Shawn Brown, Shawn T. Heyman, Stephanie Iacovella, Vittorio Mejia, Amanda F. Marinazzo, Daniele Craddock, R. Cameron Olivetti, Emanuele Hanson, Jamie L. Avesani, Paolo Garyfallidis, Eleftherios Stanzione, Dan Carson, James Henschel, Robert Hancock, David Y. Stewart, Craig A. Schnyer, David Eke, Damian O. Poldrack, Russell A. George, Nathalie Bridge, Holly Sani, Ilaria Freiwald, Winrich A. Puce, Aina Port, Nicholas L. Pestilli, Franco Distributed, Parallel, and Cluster Computing Neurons and Cognition Quantitative Methods Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR (Findable, Accessible, Interoperabile, and Reusable) data analysis to portions of the worldwide research community. brainlife.io was developed to reduce these burdens and democratize modern neuroscience research across institutions and career levels. Using community software and hardware infrastructure, the platform provides open-source data standardization, management, visualization, and processing and simplifies the data pipeline. brainlife.io automatically tracks the provenance history of thousands of data objects, supporting simplicity, efficiency, and transparency in neuroscience research. Here brainlife.io's technology and data services are described and evaluated for validity, reliability, reproducibility, replicability, and scientific utility. Using data from 4 modalities and 3,200 participants, we demonstrate that brainlife.io's services produce outputs that adhere to best practices in modern neuroscience research. |
| title | brainlife.io: A decentralized and open source cloud platform to support neuroscience research |
| topic | Distributed, Parallel, and Cluster Computing Neurons and Cognition Quantitative Methods |
| url | https://arxiv.org/abs/2306.02183 |