The　development　of　brain　science　has　led　to　a　vast　increase　of　brain　data.　To　meet　requirements　of　a　systematic　methodology　of　Brain　Informatics　(BI),　this　paper　proposes　a　new　conceptual　model　of　brain　data,　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).　A　multidimension　framework　and　a　BI　methodology-based　ontological　modeling　approach　have　been　developed　to　implement　a　Data-Brain.　The　Data-Brain,　Data-Brain-based　BI　provenances,　and　heterogeneous　brain　data　can　be　used　to　construct　a　Data-Brain-based　brain　data　center　which　provides　a　global　framework　to　integrate　data,　information,　and　knowledge　coming　from　the　whole　research　process　for　systematic　BI　study.　Such　a　Data-Brain　modeling　approach　represents　a　radically　new　way　for　domain-driven　conceptual　modeling　of　brain　data,　which　models　a　whole　process　of　systematically　investigating　human　information　processing　mechanisms.