The Next Generation Microdata Information System (MISSY)-Towards a Best-Practice Open-Source Software Architecture for DDI-Driven Data Models

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. In various software projects in the statistical domain these elementary concepts are re-used to a large extent. Utilizing the DDI Discovery Vocabulary as the core data model the idea is to create a reusable data model, which can be extended and adjusted to the requirements of an individual project. In this poster, it is shown how the abstract data model can be implemented and how individual software products might leverage this model as a foundation for their own data models. By means of the MISSY use case, it is shown how a well-structured software architecture, based on the model-view-controller software design pattern, might look like, how certain software project layers interact, and how to implement different persistence formats like DDI-XML, DDI-RDF, and relational databases. This poster also will give a step-by-step guidance into how a project, which uses the DDI Discovery Vocabulary as an exchange format and core data model, can be build up from scratch. We will also show a live demonstration of the next generation of the Microdata Information System.