1: TRUE Connector MVDS: Difference between revisions

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• '''Short Description''':  
• '''Purpose/Short Description''': The TRUE Connector MVDS (Minimum Viable Data Space) is an open-source solution designed to create an IDSA Data Space from zero having a minimum set of mandatory services (CA, DAPS, Broker, TRUE Connector). This solution facilitate the adoption of DS Technologies with low effort.
Functions for training and evaluation of a stacked LSTM model to predict the time to produce a given item


• '''Reference, URL''': https://www.ai4europe.eu/research/ai-catalog/time-prediction-flexible-manufacturing
• '''Applicable Data Spaces Building Block ''': Data Sovereignty & Trust


• '''Applicable Business Category''': Manufacturing
• '''Reference, URL''': https://github.com/Engineering-Research-and-Development/true-connector-mvds


• '''Application in relevant Projects/Initiatives''': AI4EU
• '''Challenge addressed''': Seamless multi-vendor integration


• '''Asset Type''': Jupyter Notebook
• '''Applicable Business area ''': Any Business Areas


• '''AI Breadth''': ML, LSTM
• '''Affected Stakeholders''': IDSA Metadata Broker, TRUE Connector, DAPS


• '''Learning Ability''': Deep learning, LSTM, Time series
• '''Key components''': TRUE Connector, MVDS integration


• '''Related technologies''': Python
• '''Benefits''': Easy adoption DS Technologies and creation of new Data Spaces


• '''Applicable Research Area''': Integrative AI
• '''Metrics/KPIs''': N.A.


• '''Applicable Technical Category''': Machine Learning
•       '''Completion Date ''': Ongoing


• '''License Information''': MIT license (MIT)


• '''Related to circularity and sustainability''':  Yes


• '''Audience''': Manufacturers
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Latest revision as of 08:40, 11 March 2025

• Purpose/Short Description: The TRUE Connector MVDS (Minimum Viable Data Space) is an open-source solution designed to create an IDSA Data Space from zero having a minimum set of mandatory services (CA, DAPS, Broker, TRUE Connector). This solution facilitate the adoption of DS Technologies with low effort.

• Applicable Data Spaces Building Block : Data Sovereignty & Trust

• Reference, URL: https://github.com/Engineering-Research-and-Development/true-connector-mvds

• Challenge addressed: Seamless multi-vendor integration

• Applicable Business area : Any Business Areas

• Affected Stakeholders: IDSA Metadata Broker, TRUE Connector, DAPS

• Key components: TRUE Connector, MVDS integration

• Benefits: Easy adoption DS Technologies and creation of new Data Spaces

• Metrics/KPIs: N.A.

• Completion Date : Ongoing


Go back to the Solutions for circularity Data Space implementations

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