Fully Traceable Vertical Data Architecture

  • John BullesEmail author
  • Rob Arntz
  • Martijn Evers
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11878)


Data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and organizations [1]. Organizations often use models to describe this data architecture for a domain. But what type of models are needed?

This vertical data architecture approach describes what different models are needed, how these models are interlinked, what the concerns are of certain representation and how an organization can deal with the challenges of keeping these models aligned. This involves the analysis of a Universe of Discourse (UoD), creating conceptual information models (in FBM), transforming these into logical data models and transform these logical models into one or more implementation models. Issues like traceability back to the UoD and impact directly from the UoD to the implementation are main issues which often are hard to tackle.


Fact Based Modeling (FBM) Vertical data architecture Cognitatie I-refactory conceptual information model Logical data model Model transformation Traceability 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.PNAHeerlenThe Netherlands
  2. 2.I-Refact‘s HertogenboschThe Netherlands

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