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This study introduces a solution to integrate Open Data portals with NGSI-LD standards, enhancing data discoverability and interoperability. The approach ensures comprehensive, accessible, and FAIR data, validated with IoT data on the European Data Portal.

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Area of Science:

  • Data Science
  • Information Systems
  • Internet of Things

Background:

  • Massive data generation necessitates improved discoverability, accessibility, and interoperability.
  • Open Data portals enhance discoverability but lack data standardization.
  • NGSI-LD standard promotes data modeling and accessibility harmonization.

Purpose of the Study:

  • To bridge Open Data portals and NGSI-LD standards for improved data management.
  • To aggregate data into coherent datasets with high-quality descriptions.
  • To ensure data comprehensiveness, interoperability, and accessibility.

Main Methods:

  • Developed a solution integrating Open Data portal descriptions with NGSI-LD data.
  • Aggregated disparate data into structured, coherent datasets.
  • Generated comprehensive metadata descriptions adhering to interoperability standards.

Main Results:

  • Successfully exposed Internet of Things (IoT) data in NGSI-LD format via the European Data Portal (EDP).
  • Generated dataset descriptions achieved excellent rankings in the EDP's Metadata Quality Assessment.
  • Demonstrated high performance in Findability, Accessibility, Interoperability, and Reusability (FAIR) data principles.

Conclusions:

  • The proposed solution effectively combines the benefits of Open Data portals and NGSI-LD.
  • Achieved enhanced data discoverability, accessibility, and interoperability for diverse data sources.
  • Validated the approach's efficacy through a real-world implementation and FAIR data principles assessment.