CROSS-DB: a feature-extended multidimensional data model for statistical and scientific databases

Statistical and scientifi computing applications exhibit characteristics that are finahmentally different fmm classical database system application domains. The CROSS-DB data model presented in this paper is optimized for use in such applications by providing advanced data mo&lling methods and application-oriented query fmilities, thus providing afiamework for optimized alzta nuuuzgement procedures. CROSS-DB (which stands for Classifiationoriented Redundancy-based Optimization of Statistical and Scientific DataBases) is based on a multidimenswnal data view. The model differs j?om other approaches by o~ering two complementary rnechanisrnsfor structuring qualifying information, classification and feature description. Using these ntechanisms results in a normalized, low-dimensional database schema which ensures both modelling uniqueness and understo.mhbility while providing enhanced modelling$exibility.