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Description Platforms providers will be able to flexibly and dynamically connect the Real World with digital Enterprise Systems through common open standards; European ICT SMEs will be growing fast through leadership in data-driven
Organisation INDUSTRIAL DATA SPACE EV
Comments There are additional targets here with respect to what is reported in objective 1.6: Data sharing with data sovereignty. Data Brokering. Data Analytics.
 Periodic Reporting for period 1 - MIDIH (Manufacturing Industry Digital Innovation Hubs) Result description approach, covering both, data-in-motion and data-at-rest.
 R&I Objective 2.6: Predictive Manufacturing capabilities & Logistics of the future Comments There are additional targets here with respect to what is reported in objective 1.6: Data sharing with data sovereignty. Data Brokering. Data Analytics.
 R&I Objective 3.4: Secure communication and IP management for smart factories in dynamic value networks Comments There are additional targets here with respect to what is reported in objective 1.6: Data sharing with data sovereignty. Data Brokering. Data Analytics.
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Description One of the most imperative problems so far is to connect supply chain data and services between enterprises and to connect value chain data within a factory so that it can meaningfully support decision-making
Comments   Blockchain based security mechanisms to add trust to data.
Result product International Data Space (IDS) Reference Architecture
 Big data mining and analytics tools I Result title Big data mining and analytics tools I
 Big data mining and analytics tools II Result title Big data mining and analytics tools I
 Big data mining and analytics tools II Result title Big data mining and analytics tools I
 Design of the Security Framework II Result description exchange, T4.3 –Knowledge Protection, IPR Protection and Trust for Collaborative Manufacturing EnvironmentsandT4.4 –Cyber Security for Factories from M12 until M18.
 Interoperability for M2M & HMI in factory environments II Result comments Connected IT and OT IoT enabled SCADA, MOM-MES, ERP (…) connectivity Humans actively connected Human Machine Interfaces Data communication and interoperability Reference docs
 Data processing Taxon title Data processing Taxon description /wiki/Data_processing)
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Organisation DATALOGIC SRL (DATALOGIC)
Comments for Human-Robot Mutual Understanding in collaborative operations which will incorporate a human-centred process design level to address and account for human factors like job quality, user experience, trust
 Data Management Plan Result title Data Management Plan Result description Data Management Plan (DMP): The plan will describe ways to manage all research data, and metadata, during and after the project duration; open data sets, means to access, updating, etc
 Data communication infrastructure Taxon title Data communication infrastructure
 Increasing human achievements in manufacturing systems Comments for Human-Robot Mutual Understanding in collaborative operations which will incorporate a human-centred process design level to address and account for human factors like job quality, user experience, trust
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Description The advanced analytics and reconfiguration capabilities to be developed in SAFIRE will be based on mastering the big data challenges associated with manufacturing (sensor and process data), enterprise
Comments Emphasizing security, privacy & trust based on situational awareness.
 Open Data Use Plan Result title Open Data Use Plan
 Periodic Reporting for period 1 - SAFIRE (Cloud-based Situational Analysis for Factories providing Real-time Reconfiguration Services) Result description use of security, privacy & trust and situational awareness.
 SAFIRE Electrolux pilot: Cloud-driven product optimization Result comments Data acquisition Data processing Data modelling Data collection, storage, analytics, processing and AI Cybersecurity Privacy Safety Resilience Standards Connected Products Production engineering
 Data ownership - data governance Taxon title Data ownership - data governance Comments Emphasizing security, privacy & trust based on situational awareness.
 Data processing Taxon description /wiki/Data_processing)
 Data collection, storage, analytics, processing and AI Comments Emphasizing security, privacy & trust based on situational awareness.
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 Periodic Reporting for period 1 - ConnectedFactories (Industrial scenarios for connected factories) Result description create trust and develop/ deepen the links within the community The mentioned ?scenarios and pathways? play a central role.
 CELOS DMG: Success stories Result comments DMG MORI presented a machine tool equipped with more than 60 sensors that transmitted digitised information on components from the sensors to the cloud for the purposes of data
 Data ownership - data governance Taxon title Data ownership - data governance
 Data processing Taxon description /wiki/Data_processing)
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Comments Trust and reputation management. Advanced behavioural security (including game theory) Spring Cloud Security: Standardized security mechanisms are implemented using Spring Cloud Security.
 Distributed Automation: Channel Management for Production Data Sharing Result title Distributed Automation: Channel Management for Production Data Sharing
 Periodic Reporting for period 1 - NIMBLE (Collaboration Network for Industry, Manufacturing, Business and Logistics in Europe) Result description We propose an integrated model of trust to be used on the NIMBLE platform. (6) Life-Cycle Data Management: As the world moves towards ubiquitous network access enabling the IoT, we need to view life cycle
 Data/object model interoperability - Data exchange formats - APIs Taxon title Data/object model interoperability - Data exchange formats - APIs
 Cybersecurity Comments Trust and reputation management. Advanced behavioural security (including game theory) Spring Cloud Security: Standardized security mechanisms are implemented using Spring Cloud Security.
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Description Software Development Kit (OAK) for Factories of the Future that aims to be the reference system software for collaborative manufacturing and logistics processes including its associated resources and data
Comments publish-subscribe middleware will provide the data infrastructure and will be fully compatible with major industry standards (i.e.
 vfOS - ID5.4a - Data Analytics(M18) Result title vfOS - ID5.4a - Data Analytics(M18)
 Periodic Reporting for period 1 - vf-OS (Virtual Factory Open Operating System) Result description Such an operating system will include real-time architectures for interoperability, management of the data deluge, ICT security, knowledge protection, and trust in collaborative infrastructures.
 vfOS - ID5.1a - Data Infrastructure Middleware(M18) Result comments result_rcn_EC deliverableType_EC Other Data acquisition Data storage Data processing
 Data storage Taxon title Data storage Taxon description Data storage is the recording (storing) of information (data) in a storage medium.
 Standards Comments publish-subscribe middleware will provide the data infrastructure and will be fully compatible with major industry standards (i.e.
 Integration level interoperability Comments publish-subscribe middleware will provide the data infrastructure and will be fully compatible with major industry standards (i.e.
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Description UPTIME will enable manufacturing companies having installed sensors to fully exploit the availability of huge amounts of data with respect to the implementation of a predictive maintenance strategy.
Organisation SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED
Comments and manipulation for predictive maintenance including establishing of trust chains over multiple stakeholders in the data chain to ensure high data/information integrity and trust.
 Dissemination, Communication and Data Management Plan Result title Dissemination, Communication and Data Management Plan
 Market Research Result description The RINA Strategic Intelligence Platform is an UPTIME database, which provides State-of-Play of predictive maintenance models, techniques and platforms.
 Data storage Taxon title Data storage Taxon description Data storage is the recording (storing) of information (data) in a storage medium.
 R&I Objective 3.3: Transparency, trust and data integrity along the product and manufacturing life-cycle Comments and manipulation for predictive maintenance including establishing of trust chains over multiple stakeholders in the data chain to ensure high data/information integrity and trust.

AMable | AdditiveManufacturABLE

01-09-2017

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31-08-2021

Calltopic: FoF.2017.12

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Description 10) AM support services through an open source- and API-based digital marketplace structured as three Platforms (Technology, Business, and Skills and Education); support and develop best in class AM data
Organisation INDUSTRIAL DATA SPACE EV
Result product International Data Space (IDS) Reference Architecture
 International Data Space Use Cases (IDS use cases) Result title International Data Space Use Cases (IDS use cases)
 Periodic Reporting for period 1 - AMable (AdditiveManufacturABLE) Result description This will enhance trust in the collaboration on production for the digital world.
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 Specification of the generic interfaces for machinery, control systems and data backbone Result title Specification of the generic interfaces for machinery, control systems and data backbone
 Decision rules and KPI and Functionality Visualizations Result description Plug & Produce system) and dynamic scheduling aspects which add further complexity that needs to be made transparent for production engineers to trust and use this kind of system.
 ICT solutions for next generation data storage and information mining Taxon title ICT solutions for next generation data storage and information mining
 IoT - Internet of Things Taxon description of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data

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