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Towards a New Understanding of Data Modelling

  • Heinz K. Klein
  • Kalle Lyytinen

Abstract

This paper reviews the fundamental assumptions of current data modelling approaches in the light of the recent debate on conflicting research paradigms. The following four questions are used to identify paradigmatic assumptions about the ontology, language, epistemology and social context of data modelling: (1) What is being modelled? (2) How well is the result represented? (3) Why is it valid? (4) How are data models used in practice? It is concluded that the pursuit of these four questions amounts to a new research programme in data management and that the appropriate metaphors for data modelling are not fact gathering and modelling, but negotiation and law-making.

Keywords

Data Modelling Conceptual Schema Fundamental Assumption User Language Rational Side 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Heinz K. Klein
  • Kalle Lyytinen

There are no affiliations available

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