4.5 Article

The HiveDB image data management and analysis framework

Journal

FRONTIERS IN NEUROINFORMATICS
Volume 7, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fninf.2013.00049

Keywords

neuroimaging database framework; image processing; query interface; data management; data query; neuroimaging collaboration and workflows; web 2.0 application

Funding

  1. Biomedical Research Centre for Mental Health at South London
  2. Maudsley NHS Foundation Trust and Institute of Psychiatry, Kings College London
  3. Biomedical Research Unit for Dementia and Alzheimers Research UK

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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.

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