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TheHiveDB image data management and analysis framework
The hive database system (theHiveDB) is a web-based brain imaging database, collaboration, and activity system which has been designed as an imaging workflow management system capable of handling cross-sectional and longitudinal multi-center studies. It can be used to organize and integrate existing...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3880907/ https://www.ncbi.nlm.nih.gov/pubmed/24432000 http://dx.doi.org/10.3389/fninf.2013.00049 |
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author | Muehlboeck, J-Sebastian Westman, Eric Simmons, Andrew |
author_facet | Muehlboeck, J-Sebastian Westman, Eric Simmons, Andrew |
author_sort | Muehlboeck, J-Sebastian |
collection | PubMed |
description | The hive database system (theHiveDB) is a web-based brain imaging database, collaboration, and activity system which has been designed as an imaging workflow management system capable of handling cross-sectional and longitudinal multi-center studies. It can be used to organize and integrate existing data from heterogeneous projects as well as data from ongoing studies. It has been conceived to guide and assist the researcher throughout the entire research process, integrating all relevant types of data across modalities (e.g., brain imaging, clinical, and genetic data). TheHiveDB is a modern activity and resource management system capable of scheduling image processing on both private compute resources and the cloud. The activity component supports common image archival and management tasks as well as established pipeline processing (e.g., Freesurfer for extraction of scalar measures from magnetic resonance images). Furthermore, via theHiveDB activity system algorithm developers may grant access to virtual machines hosting versioned releases of their tools to collaborators and the imaging community. The application of theHiveDB is illustrated with a brief use case based on organizing, processing, and analyzing data from the publically available Alzheimer Disease Neuroimaging Initiative. |
format | Online Article Text |
id | pubmed-3880907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38809072014-01-15 TheHiveDB image data management and analysis framework Muehlboeck, J-Sebastian Westman, Eric Simmons, Andrew Front Neuroinform Neuroscience The hive database system (theHiveDB) is a web-based brain imaging database, collaboration, and activity system which has been designed as an imaging workflow management system capable of handling cross-sectional and longitudinal multi-center studies. It can be used to organize and integrate existing data from heterogeneous projects as well as data from ongoing studies. It has been conceived to guide and assist the researcher throughout the entire research process, integrating all relevant types of data across modalities (e.g., brain imaging, clinical, and genetic data). TheHiveDB is a modern activity and resource management system capable of scheduling image processing on both private compute resources and the cloud. The activity component supports common image archival and management tasks as well as established pipeline processing (e.g., Freesurfer for extraction of scalar measures from magnetic resonance images). Furthermore, via theHiveDB activity system algorithm developers may grant access to virtual machines hosting versioned releases of their tools to collaborators and the imaging community. The application of theHiveDB is illustrated with a brief use case based on organizing, processing, and analyzing data from the publically available Alzheimer Disease Neuroimaging Initiative. Frontiers Media S.A. 2014-01-06 /pmc/articles/PMC3880907/ /pubmed/24432000 http://dx.doi.org/10.3389/fninf.2013.00049 Text en Copyright © 2014 Muehlboeck, Westman and Simmons. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Muehlboeck, J-Sebastian Westman, Eric Simmons, Andrew TheHiveDB image data management and analysis framework |
title | TheHiveDB image data management and analysis framework |
title_full | TheHiveDB image data management and analysis framework |
title_fullStr | TheHiveDB image data management and analysis framework |
title_full_unstemmed | TheHiveDB image data management and analysis framework |
title_short | TheHiveDB image data management and analysis framework |
title_sort | thehivedb image data management and analysis framework |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3880907/ https://www.ncbi.nlm.nih.gov/pubmed/24432000 http://dx.doi.org/10.3389/fninf.2013.00049 |
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