SDDI Guide

The handbook is aimed at decision-makers in municipal IT. A supplementary management report is intended to prepare the core statements for political decision-makers.

Goals of the handbook

• To sensitize regions and municipalities to the topic of cross-sectoral data integration.
• To enable regions and municipalities to use existing data and service offerings from spatial data infrastructures such as the GDI Bavaria directly for various use cases.
• To put regions and municipalities in a position to build, supplement and, if necessary, operate a data infrastructure with the aim of cross-sector data integration (themselves or with the help of service providers).
• To provide detailed guidance on the procedure for building a data infrastructure for cross-sector data integration. For this purpose, the Smart District Data Infrastructure (SDDI) method developed in the field of data management for smart cities is used.
• To provide an overview of available open standards for networking existing information systems and sensor platforms.
• To present existing solutions.
• To provide a rough framework for efforts and costs of cross-sector data integration. 

Contents of the Guide

• Role of data management and system architectures (platforms, data infrastructures, cloud services, Internet of Things, protocols, analytics, applications) in the realization of Smart City and Smart Regions projects
• Challenges in building data infrastructures for Smart Cities and Smart Regions
• Role of interoperability in data infrastructures for Smart Cities and Smart Regions
• Explaining the concept of cross-sector data integration based on a distributed, open data infrastructure (geo-based digital twin), objectives of the SDDI concept, SDDI components and core components
• Detailed guidance / "recipes" based on the SDDI methodology for building a data infrastructure in Smart Cities and Smart Regions
  • Basis: RM-ODP (ISO/IEC 10746)
  • Enterprise Viewpoint: identification of action areas and challenges, identification of stakeholders and participants, definition of use cases, requirements analysis for data and SDDI components
  • Engineering Viewpoint: defining interfaces, syntactic interoperability
  • Information Viewpoint: Data models and semantic interoperability
  • Computational Viewpoint: interaction of components, data flow
  • Technology Viewpoint: defining hardware and software for SDDI components, effort estimation for implementation
• Presentation of existing solutions (from single components to applications) with references to open source components
• Outlook: Marketplace for services and applications
• Appendix:
  • Templates for requirements analysis and effort estimation, maturity assessment...  
  • Short explanation of essential standards (especially of the Open Geospatial Consortium (OGC))