Human Imaging Database (HID) System

Filed under: Tools

Status: In production

The Human Imaging Database (HID) is an extensible database management system developed to handle the increasingly large and diverse datasets collected as part of the MBIRN and FBIRN collaboratories and throughout clinical imaging communities at large.

Citations:

Keator, D.B.; Grethe, J.S.; Marcus, D.; Ozyurt, B.; Gadde, S.; Murphy, S.; Pieper, S.; Greve, D.;Notestine, R.; Bockholt, H.J.; Papadopoulos, P.; Function BIRN; Morphometry BIRN; BIRN Coordinating Center. (2008) A National Human Neuroimaging Collaboratory Enabled By The Biomedical Informatics Research Network (BIRN). IEEE Transactions on Information Technology in Biomedicine, Special Bio-Grid edition, 12 (2), 162-172.

David B. Keator, Dingying Wei, Syam Gadde, Jeremy Bockholt, Jeffrey S. Grethe, Daniel Marcus, Nicole Aucoin, Ibrahim B. Ozyurt. (2009). Derived Data Storage and Exchange Workflow for Large-Scale Neuroimaging Analyses on the BIRN Grid. Frontiers in Neuroscience, Manuscript in press.

To access this tool: http://www.nitrc.org/projects/hid/

The latest versions of HID web app and corresponding schema and scripts are only available via the NITRC subversion source control system. Its wiki is at http://www.nitrc.org/plugins/mwiki/index.php/hid:MainPage

If you want to get them from NITRC SVN, you must first register with NITRC at http://www.nitrc.org/account/register.php

HID web app release 2.2beta with GridFTP/GSI support is in NITRC Subversion Source Control System:

svn co https://www.nitrc.org/svn/hid/clinical/tags/release-2.2beta

For setup (there are new sections for GridFTP download mechanism usage preparation) and administration changes, please follow the README.html.

For web app configuration changes, please read https://www.nitrc.org/svn/hid/release-2.2beta/clinical/doc/tutorial.pdf .

The corresponding db schema scripts are in SVN:

svn co https://www.nitrc.org/svn/hid/schema/tags/release-2.2
BIRN is supported by NIH grants 1U24-RR025736, U24-RR021992, U24-RR021760 and by the Collaborative Tools Support Network Award 1U24-RR026057-01.