An effectual approach for a data and information management for humanists

Abstract

 We present a generic database schema enabling different contextual points of view on a heterogeneous mass of scientific data and information within a multidisciplinary research environment. We present a method with which scientific data can be stored in a self-defined set of entities and relations, so that it becomes possible to represent the context for each research question in its own conceptual ER schema within one single relational database and without changing any involved schema. Acknowledged ontologies as particular schemata, involving bibliographic, biographic, or artifact information, can be included. The intersection of the metaphorical sphere within texts, feature specialties of material artifacts, and geographical terms allows a congruent text-artifact-map-transformation. Examples shall illustrate the broadness of our approach.