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A Comprehensive Solution for Integrating NGSI-LD Data into Open Data Portals

Q: How can this integrated approach benefit other sectors beyond technology?

The integrated approach of bridging NGSI-LD data with Open Data portals can have far-reaching benefits beyond just the technology sector. By harmonizing data access specifications and promoting interoperability, this approach can enhance transparency and accountability in various sectors such as government, healthcare, education, and environmental management. For example: Government: Open Data initiatives supported by this integration can improve public services delivery, increase citizen engagement through transparent governance practices, and enable evidence-based policy-making. Healthcare: Access to standardized data across different healthcare providers can lead to better patient care coordination, improved health outcomes through data-driven insights, and enhanced research collaboration. Education: Standardized datasets shared through open platforms can facilitate educational research studies, support evidence-based teaching practices, and promote innovation in learning technologies. Environmental Management: Interoperable data models can help monitor environmental indicators more effectively, support sustainable resource management decisions based on real-time information sharing.

Q: What are potential drawbacks or limitations of relying on NGSI-LD alone for data discoverability?

While NGSI-LD offers a robust standard for context data management and interoperability in IoT environments, relying solely on it for data discoverability may present some limitations: Limited Metadata Description: NGSI-LD primarily focuses on the structure of the actual data rather than detailed metadata descriptions. This could result in challenges when trying to search for specific datasets based on comprehensive metadata criteria. Lack of Search Optimization: Without dedicated tools or frameworks for dataset discovery like those found in Open Data portals using DCAT-AP specification, finding relevant information within a large pool of NGSI-LD datasets might be cumbersome. Complex Querying Process: Direct querying against an NGSI-LD API may require advanced technical knowledge or custom scripts to extract meaningful insights from the available datasets efficiently.

Q: How might advancements in interoperable data models impact future smart city initiatives?

Advancements in interoperable data models hold significant promise for shaping the future landscape of smart city initiatives: Seamless Integration: With standardized formats like NGSI-LD facilitating seamless integration between diverse systems and devices within smart cities' infrastructure networks. Enhanced Decision-Making: Interoperable models allow different stakeholders (government agencies, service providers) to access unified datasets easily leading to informed decision-making processes based on real-time insights. Improved Efficiency & Sustainability: Smart city projects leveraging interoperable models can optimize resource allocation strategies leading to increased operational efficiency while promoting sustainability goals through coordinated efforts across various domains like energy management or transportation planning.

Kernekoncepter

The author presents a solution that bridges Open Data portals and NGSI-LD-based data to ensure interoperability and accessibility, maximizing the FAIR data principles.

Resumé

The article discusses the challenges of data discoverability, accessibility, and interoperability in the context of Open Data portals. It introduces a solution that combines NGSI-LD standard with CKAN-based Open Data portals to enhance data description and access. The proposed architecture involves multiple components like Form, Dataset Registry, Context Brokers, CKAN instance, Retriever module, and EDP connector. The validation scenario implementation showcases the successful integration of these components in a real-world use case involving the SALTED project and the European Data Portal (EDP). The solution aims to improve data quality assessment metrics such as Findability, Accessibility, Interoperability, Reusability, and Contextuality.

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Statistik

"NGSI-LD standard emerges as a potential solution to harmonise data access specifications."
"NGSI-LD is already in use in numerous real-world pilots."
"European Data Portal (EDP) implements Metadata Quality Assessment showing excellent ranking."

Citater

"The proposed solution aggregates the data into coherent datasets and generate high-quality descriptions."
"NGSI-LD standard offers a comprehensive specification for enabling context data management."
"The results from Metadata Quality Assessment show datasets’ descriptions generated achieve excellent ranking."

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A Connector for Integrating NGSI-LD Data into Open Data Portals

by Laur... kl. arxiv.org 03-07-2024

https://arxiv.org/pdf/2403.03648.pdf

A Connector for Integrating NGSI-LD Data into Open Data Portals

Dybere Forespørgsler

How can this integrated approach benefit other sectors beyond technology?

The integrated approach of bridging NGSI-LD data with Open Data portals can have far-reaching benefits beyond just the technology sector. By harmonizing data access specifications and promoting interoperability, this approach can enhance transparency and accountability in various sectors such as government, healthcare, education, and environmental management. For example:

Government: Open Data initiatives supported by this integration can improve public services delivery, increase citizen engagement through transparent governance practices, and enable evidence-based policy-making.
Healthcare: Access to standardized data across different healthcare providers can lead to better patient care coordination, improved health outcomes through data-driven insights, and enhanced research collaboration.
Education: Standardized datasets shared through open platforms can facilitate educational research studies, support evidence-based teaching practices, and promote innovation in learning technologies.
Environmental Management: Interoperable data models can help monitor environmental indicators more effectively, support sustainable resource management decisions based on real-time information sharing.

What are potential drawbacks or limitations of relying on NGSI-LD alone for data discoverability?

While NGSI-LD offers a robust standard for context data management and interoperability in IoT environments, relying solely on it for data discoverability may present some limitations:

Limited Metadata Description: NGSI-LD primarily focuses on the structure of the actual data rather than detailed metadata descriptions. This could result in challenges when trying to search for specific datasets based on comprehensive metadata criteria.
Lack of Search Optimization: Without dedicated tools or frameworks for dataset discovery like those found in Open Data portals using DCAT-AP specification, finding relevant information within a large pool of NGSI-LD datasets might be cumbersome.
Complex Querying Process: Direct querying against an NGSI-LD API may require advanced technical knowledge or custom scripts to extract meaningful insights from the available datasets efficiently.

How might advancements in interoperable data models impact future smart city initiatives?

Advancements in interoperable data models hold significant promise for shaping the future landscape of smart city initiatives:

Seamless Integration: With standardized formats like NGSI-LD facilitating seamless integration between diverse systems and devices within smart cities' infrastructure networks.
Enhanced Decision-Making: Interoperable models allow different stakeholders (government agencies, service providers) to access unified datasets easily leading to informed decision-making processes based on real-time insights.
Improved Efficiency & Sustainability: Smart city projects leveraging interoperable models can optimize resource allocation strategies leading to increased operational efficiency while promoting sustainability goals through coordinated efforts across various domains like energy management or transportation planning.