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A Business Perspective on Use-Case-Driven Challenges for Software Architectures to Document Study and Variable Information

Presenter 1
Thomas Bosch
GESIS – Leibniz Institute for the Social Sciences
Presenter 2
Matthäus Zloch
GESIS – Leibniz Institute for the Social Sciences
Presenter 3
Dennis Wegener
GESIS – Leibniz Institute for the Social Sciences

The DDI Discovery Vocabulary represents the most important parts of DDI-Codebook and DDI-Lifecycle in the Web of Data covering the discovery use case. Now, researchers have the possibility to publish and link their data and metadata in the Linked Open Data Cloud. In various software projects in the statistical domain these basic DDI concepts are reused to a large extent. Thus, the DDI Discovery Vocabulary could serve as a common abstract data model for all of these software projects. As software products have individual requirements, the common abstract data model has to be customized in form of individual data models. The projects MISSY and StarDat are used to document variable and study information, respectively. They could serve as representative use cases to show how abstract data models and project-specific data models cover the requirements of these kind of projects. This presentation gives an overview of the project's software architecture and the interaction of their layers and components. In addition, the succeeding talk about the detailed technical perspective (on use-case-driven challenges for software architectures to document study and variable information) describes how to implement the proposed software architecture and how to implement different persistence formats like DDI-XML, DDI-RDF, and relational databases.

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