2: Industrial Data Platform: Difference between revisions

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• '''Purpose/Short Description''':  
• '''Purpose/Short Description''': The Circular TwAIn Industrial Data Platform is a technology infrastructure based on open source components enabling ingestion, transformation, mapping and brokering of digital twin data generated within an industrial environment.


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


• '''Reference, URL''':  
• '''Reference, URL''': https://github.com/Engineering-Research-and-Development/circular-twain_industrial_data_platform


• '''Completion Date ''':
• '''Challenge addressed''': Industrial data integration


• '''Challenge addressed''':  
• '''Applicable Business area ''': Any Business Areas


• '''Applicable Business area ''':
• '''Affected Stakeholders''': Industry organisations, data managers.


• '''Affected Stakeholders''':
• '''Key components''': FIWARE and Apache OS components


• '''Key components''':  
• '''Benefits''': Data preparation for DS technologies


• '''Benefits''':
• '''Metrics/KPIs''': Platform usage, integration success.


• '''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 08:42, 11 March 2025

Purpose/Short Description: The Circular TwAIn Industrial Data Platform is a technology infrastructure based on open source components enabling ingestion, transformation, mapping and brokering of digital twin data generated within an industrial environment.

Applicable Data Spaces Building Block: Data Interoperability

Reference, URL: https://github.com/Engineering-Research-and-Development/circular-twain_industrial_data_platform

Challenge addressed: Industrial data integration

Applicable Business area : Any Business Areas

Affected Stakeholders: Industry organisations, data managers.

Key components: FIWARE and Apache OS components

Benefits: Data preparation for DS technologies

Metrics/KPIs: Platform usage, integration success.

Completion Date : Ongoing


Go back to the Solutions for circularity Data Space implementations