Recent advances and the future generation of neuroinformatics infrastructure
The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for...
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| المؤلفون الرئيسيون: | , , , , , |
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| التنسيق: | Online |
| اللغة: | الإنجليزية |
| منشور في: |
Frontiers Media SA
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | 18809 |
| الوسوم: |
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| _version_ | 1869523254893346816 |
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| author | John Van Horn Venkata Satyanand Mattay Qian Luo Xi Cheng Daniel Marcus Daniel R. Weinberger |
| author_browse | Daniel Marcus Daniel R. Weinberger John Van Horn Qian Luo Venkata Satyanand Mattay Xi Cheng |
| author_facet | John Van Horn Venkata Satyanand Mattay Qian Luo Xi Cheng Daniel Marcus Daniel R. Weinberger |
| author_sort | John Van Horn |
| collection | Directory of Open Access Books |
| description | The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote data sharing and collaboration. This Neuroinformatics Research Topic aims to summarize the state-of-art of the current achievements and explores the directions for the future generation of neuroinformatics infrastructure. The publications present solutions for data archiving, data processing and workflow, data mining, and system integration methodologies. Some of the systems presented are large in scale, geographically distributed, and already have a well-established user community. Some discuss opportunities and methodologies that facilitate large-scale parallel data processing tasks under a heterogeneous computational environment. We wish to stimulate on-going discussions at the level of the neuroinformatics infrastructure including the common challenges, new technologies of maximum benefit, key features of next generation infrastructure, etc. We have asked leading research groups from different research areas of neuroscience/neuroimaging to provide their thoughts on the development of a state of the art and highly-efficient neuroinformatics infrastructure. Such discussions will inspire and help guide the development of a state of the art, highly-efficient neuroinformatics infrastructure. |
| format | Online |
| id | doab-20.500.12854ir-57716 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-577162024-04-05T17:30:53Z Recent advances and the future generation of neuroinformatics infrastructure John Van Horn Venkata Satyanand Mattay Qian Luo Xi Cheng Daniel Marcus Daniel R. Weinberger RC321-571 Q1-390 Neuroimaging database neuroinformatics workflow infrastructure high-throughput data processing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote data sharing and collaboration. This Neuroinformatics Research Topic aims to summarize the state-of-art of the current achievements and explores the directions for the future generation of neuroinformatics infrastructure. The publications present solutions for data archiving, data processing and workflow, data mining, and system integration methodologies. Some of the systems presented are large in scale, geographically distributed, and already have a well-established user community. Some discuss opportunities and methodologies that facilitate large-scale parallel data processing tasks under a heterogeneous computational environment. We wish to stimulate on-going discussions at the level of the neuroinformatics infrastructure including the common challenges, new technologies of maximum benefit, key features of next generation infrastructure, etc. We have asked leading research groups from different research areas of neuroscience/neuroimaging to provide their thoughts on the development of a state of the art and highly-efficient neuroinformatics infrastructure. Such discussions will inspire and help guide the development of a state of the art, highly-efficient neuroinformatics infrastructure. 2021-02-12T00:58:17Z 2021-02-12T00:58:17Z 2016-04-07 11:22:02 2015 book 18809 16648714 9782889196777 https://directory.doabooks.org/handle/20.500.12854/57716 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Recent_Advances_and_the_Future_Generation_of_Neuroinformatics_Infrastructure/740#nogo http://journal.frontiersin.org/researchtopic/1577/recent-advances-and-the-future-generation-of-neuroinformatics-infrastructure Frontiers Media SA 10.3389/978-2-88919-677-7 10.3389/978-2-88919-677-7 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889196777 388 open access |
| spellingShingle | RC321-571 Q1-390 Neuroimaging database neuroinformatics workflow infrastructure high-throughput data processing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences John Van Horn Venkata Satyanand Mattay Qian Luo Xi Cheng Daniel Marcus Daniel R. Weinberger Recent advances and the future generation of neuroinformatics infrastructure |
| title | Recent advances and the future generation of neuroinformatics infrastructure |
| title_full | Recent advances and the future generation of neuroinformatics infrastructure |
| title_fullStr | Recent advances and the future generation of neuroinformatics infrastructure |
| title_full_unstemmed | Recent advances and the future generation of neuroinformatics infrastructure |
| title_short | Recent advances and the future generation of neuroinformatics infrastructure |
| title_sort | recent advances and the future generation of neuroinformatics infrastructure |
| topic | RC321-571 Q1-390 Neuroimaging database neuroinformatics workflow infrastructure high-throughput data processing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 Neuroimaging database neuroinformatics workflow infrastructure high-throughput data processing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 18809 |
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