10: Sovity Community Edition EDCs: Difference between revisions

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• '''Purpose/Short Description''':  
• '''Purpose/Short Description''': To simplify and accelerate the deployment of data space solutions by providing a ready-to-use, extendable community edition of EDCs, enhanced with pre-configured open-source extensions.


• '''Applicable Data Spaces Building Block (see DSCC Buildign Blocks)''':Data Sovereignty & Trust
• '''Applicable Data Spaces Building Block (see DSCC Buildign Blocks)''': Data Interoperability


• '''Reference, URL''':  
• '''Reference, URL''':  
Sovity Documentation:  https://edc.docs.sovity.de/  & Info on how to run a local sovity Community Edition EDC: https://edc.docs.sovity.de/#getting-started


• '''Completion Date ''':
• '''Challenge addressed''': Reduces complexity and barriers to entry for organizations looking to implement data space connectors by providing a ready-to-use solution with pre-configured settings.


• '''Challenge addressed''':  
• '''Applicable Business area ''': Primarily aimed at organizations in the digital and data-driven sectors, such as IoT, smart cities, logistics, and healthcare, looking to leverage data sharing ecosystems.


• '''Applicable Business area ''':
• '''Affected Stakeholders''': Data providers and consumers, software developers, IT administrators, and organizations involved in data governance.


• '''Affected Stakeholders''':
• '''Key components''': Pre-configured Extensions: Enhances basic EDC functionality with additional features for specific use cases.
Community Support Modules: Facilitate contributions and improvements from the community.
Deployment Scripts and Tools: Streamline the process of setting up and running the connectors.


• '''Key components''':  
• '''Benefits''': Reduced Setup Time: Quickly deploy data space connectors with minimal configuration.
Community Driven: Leverages the collective expertise of the community for continuous improvement and support.
Cost Efficiency: Reduces the cost of development and maintenance by utilizing open-source technologies.


• '''Benefits''':
• '''Metrics/KPIs''': N.A.
 
• '''Metrics/KPIs''': Machine Learning


• '''Completion Date ''': Ongoing




Go back to the '''[[Solutions for circularity Data Space implementations]]'''
Go back to the '''[[Solutions for circularity Data Space implementations]]'''

Latest revision as of 12:38, 27 December 2024

Purpose/Short Description: To simplify and accelerate the deployment of data space solutions by providing a ready-to-use, extendable community edition of EDCs, enhanced with pre-configured open-source extensions.

Applicable Data Spaces Building Block (see DSCC Buildign Blocks): Data Interoperability

Reference, URL: Sovity Documentation: https://edc.docs.sovity.de/ & Info on how to run a local sovity Community Edition EDC: https://edc.docs.sovity.de/#getting-started

Challenge addressed: Reduces complexity and barriers to entry for organizations looking to implement data space connectors by providing a ready-to-use solution with pre-configured settings.

Applicable Business area : Primarily aimed at organizations in the digital and data-driven sectors, such as IoT, smart cities, logistics, and healthcare, looking to leverage data sharing ecosystems.

Affected Stakeholders: Data providers and consumers, software developers, IT administrators, and organizations involved in data governance.

Key components: Pre-configured Extensions: Enhances basic EDC functionality with additional features for specific use cases. Community Support Modules: Facilitate contributions and improvements from the community. Deployment Scripts and Tools: Streamline the process of setting up and running the connectors.

Benefits: Reduced Setup Time: Quickly deploy data space connectors with minimal configuration. Community Driven: Leverages the collective expertise of the community for continuous improvement and support. Cost Efficiency: Reduces the cost of development and maintenance by utilizing open-source technologies.

Metrics/KPIs: N.A.

Completion Date : Ongoing


Go back to the Solutions for circularity Data Space implementations