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Creating a Style Guide for semantic professionals, enhancing EU Open Data’s semantic interoperability and standardizing data processes

Client Overview

  • Client Name: DG DIGIT of the European Commission
  • Industry: Government/Public Sector
  • Size: Large
  • Context: The European Commission's vision is a digitally united Europe, fostering interoperability for data exchange, digital sovereignty, and public sector resilience.
  • Challenge: Develop a comprehensive Style Guide that facilitates uniform semantic interoperability within the EU's Open Data sector.

Activities

  • Creating the SEMIC Style Guide: Crafting a style guide for SEMIC’s semantic data specifications, including naming conventions, syntax, and artefact management.
  • Development of an automated validator: Semantic specifications for conformance to the style guide.
  • Establishing the UML (Unified Model Language): The single source of truth and providing fixed UML interpretation.
  • Architectural clarifications: Detailed guidelines on consumer context, standards specifications, and data specification composition.

Outcomes

  • Style Guide Publication: Completion and dissemination of a style guide for semantic specifications.
  • Interoperability Tested UML Model Validator: Ensuring different software systems speak the same language and work seamlessly together.
  • Semantic Data Specifications: Bridging the gap between domain experts and the technical experts who implement information systems.

Benefits

  • Improved Semantic Interoperability: Improved ability for EU institutions to exchange and utilize open data effectively, data policies and practices.
  • Standardization of Data Handling: Uniform approach to data management across the EU.
  • Improved Data Accessibility: Enhanced clarity and accessibility of complex data for stakeholders.
  • Strategic EU Data Policies: Contribution to the shaping of EU-wide data policies and practices.

Conclusion

The SEMIC Style Guide, developed by Meaningfy, marks a significant step for semantic interoperability within the EU Open Data space, offering a well-structured, comprehensive set of rules and guidelines that pave the way for more effective data management and standardization across EU institutions and Member States.

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