E-science　is　about　global　collaboration　in　key　areas　of　science　such　as　cognitive　science　and　brain　science,　and　the　next　generation　of　infrastructure　such　as　the　Wisdom　Web　and　Knowledge　Grids.　As　a　case　study,　we　investigate　human　multiperception　mechanism　by　cooperatively　using　various　psychological　experiments,　physiological　measurements,　and　data　mining　techniques　for　developing　artificial　systems　which　match　human　ability　in　specific　aspects.　In　particular,　we　observe　fMRI　(functional　magnetic　resonance　imaging)　and　EEG　(electroencephalogram)　brain　activations　from　the　viewpoint　of　peculiarity　oriented　mining　and　propose　a　way　of　peculiarity　oriented　mining　for　knowledge　discovery　in　multiple　human　brain　data.　Based　on　such　experience　and　needs,　we　concentrate　on　the　architectural　aspect　of　a　brain-informatics　portal　from　the　perspective　of　the　Wisdom　Web　and　Knowledge　Grids.　We　describe　how　to　build　a　data-mining　grid　on　the　Wisdom　Web　for　multiaspect　human　brain　data　analysis.　The　proposed　methodology　attempts　to　change　the　perspective　of　cognitive　scientists　from　a　single　type　of　experimental　data　analysis　toward　a　holistic　view　at　a　long-term,　global　field　of　vision.