12. A computer-implemented system for disciplining data input to a multi-contextual and multi-dimensional database, the system comprising: means for providing a template from a storage, the template identifying subject matter specific settings, wherein the settings comprise a default ontology or taxonomy, and wherein the template includes a template identification and a version; means for generating, via a processor, a new record based on the template and an existing record; means for scoring, via the processor, the new record on a relative scale based on the quality of the information in the new record, wherein the quality of information depends in part upon the quality of the credentials with regard to a source entity, data generation device or software, or author associated with the new record; and means for assigning, via the processor, a unique identification code to the new record including a reference to the template identification and version.
12. A computer-implemented system for disciplining data input to a multi-contextual and multi-dimensional database, the system comprising: means for providing a template from a storage, the template identifying subject matter specific settings, wherein the settings comprise a default ontology or taxonomy, and wherein the template includes a template identification and a version; means for generating, via a processor, a new record based on the template and an existing record; means for scoring, via the processor, the new record on a relative scale based on the quality of the information in the new record, wherein the quality of information depends in part upon the quality of the credentials with regard to a source entity, data generation device or software, or author associated with the new record; and means for assigning, via the processor, a unique identification code to the new record including a reference to the template identification and version. 14. The system of claim 12 , additionally comprising means for assigning a weight to each record representing a level of diligence used at a time of data entry, wherein the level of diligence is dependent in part on the default ontology or taxonomy and the reserved word or phrase list.