The Development of Data Grid Environment for Neuroinformatics
 
Takahiro Kosaka1 Susumu Date2 Yuko Mizuno-Matsumoto3 and Shinji Shimojo4
 
1Graduate School of Information Science and Technology
Department of Multimedia Engineering, Osaka University, Japan
tak-k@ais.cmc.osaka-u.ac.jp
2Graduate School of Information Science and Technology
Department of Bioinformatic Engineering, Osaka University, Japan
date@ais.cmc.osaka-u.ac.jp
3Department of Information Systems Engineering
Graduate School of Osaka University, Japan
yuko@ais.cmc.osaka-u.ac.jp
4Cybermedia Center, Osaka University, Japan
shimojo@cmc.osaka-u.ac.jp
 
 
Abstract
 
 
Neuroinformatics is a new research area that will help to accelerate progress in understanding human brain. This research area combines neuroscience and informatics. To promote neuroinformatics, a network is necessary which connects data, analysis tools and numerical models for neuroscience and brain science, dispersed in various research organizations.

We recognize that fundamental methods for promoting neuroinformatics are data description, accumulation and distribution. Currently, we are targeting on MEG (Magnetoencephalography) as an experimental device. MEG is a device that has the ability to detect the change in minute magnetic fields generated from the brain activity. Sharing MEG data through unified format corresponds to the purpose of neuroinformatics. In CCGrid2003, we plan to illustrate our data sharing system using OGSA-DAIS of Global Grid Forum Data Access and Integration Working Group, and will apply to MEG data sharing and analysis.