In　order　to　understand　human　intelligence　in　depth　and　find　the　cognitive　models　needed　by　Web　Intelligence　(WI),　Brain　Informatics　(BI)　adopts　systematic　methodology　to　study　human　＂thinking　centric＂　cognitive　functions,　and　their　neural　structures　and　mechanisms　in　which　the　brain　operates.　For　supporting　systematic　BI　study,　we　propose　a　new　conceptual　brain　data　model,　namely　Data-Brain,　which　explicitly　represents　various　relationships　among　multiple　human　brain　data　sources,　with　respect　to　all　major　aspects　and　capabilities　of　human　information　processing　systems　(HIPS).　On　one　hand,　constructing　such　a　Data-Brain　is　the　requirement　of　systematic　BI　study.　On　the　other　hand,　BI　methodology　supports　such　a　Data-Brain　construction.　In　this　paper,　we　design　a　multi-dimension　framework　of　Data-Brain　and　propose　a　BI　methodology　based　approach　for　Data-Brain　modeling.　By　this　approach,　we　can　construct　a　formal　Data-Brain　which　provides　a　long-term,　holistic　vision　to　understand　the　principles　and　mechanisms　of　HIPS.