Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. (from https://en.wikipedia.org/wiki/Data_modeling)

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Description Data across the (multi-sided) company internal value chain is integrated by the IIMS with optimisation and modelling tools for resource management including innovative, multi-level, real-time
Comments It is also participating in the WG-Ineteroperability and WG-Business Modelling.  Decision makers are not at their desk the whole day.
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
 Process Modelling Representation and Monitoring Framework Result description This deliverable isa report of the result of T3.1 -Process Modelling and Monitoring Framework.
 Digital Factory Model II Result comments System modelling, simulation and forecasting
 Data modelling Taxon title Data modelling Taxon description Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.
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Comments with the participation in the Open Research Data (ORD) pilot.
 DELIVERABLE D6.2 - Data Management Plan Result title Data Management Plan
 Data Management Plan Result title Data Management Plan Result comments result_rcn_EC deliverableType_EC Open Research Data Pilot
 DELIVERABLE D2.2 - Knowledge model for human resource optimization Result description We investigate the objectives and benefits as well as the definition and main components of Semantic Modelling.
 Business model aspects of digital platform deployment Taxon description Another difference is the central role of data for platforms, meaning that data governance is one of the essential elements of the value proposition of platforms.   Comments with the participation in the Open Research Data (ORD) pilot.
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Description building up, or even propagation in the production system (Z-PREVENT), the estimation of the remaining useful life of assets (Z-ESTIMATE), the management of the aforementioned strategies through event modelling
Comments It also includes the machine learning application as well, due to the usage of prediction models in data-driven modelling.
 Data Management Plan (DMP) Result title Data Management Plan (DMP) Result description The plan will describe ways to manage all research data, and metadata, during and after the project duration; open data sets, means to access, license attached, updating, etc.
 Data modelling Taxon title Data modelling
 Data storage Taxon description Data storage is the recording (storing) of information (data) in a storage medium.
 Data processing Comments It also includes the machine learning application as well, due to the usage of prediction models in data-driven modelling.
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Description Also to pursue the highly-connected factory model to reap the benefits of all the data generated within the factory.
Comments  The set of components will provide functionalities related to IoT, robotics, AI, Big Data and HMI.
 R&I Objective 4.3: Human & technology complementarity and excellence in manufacturing Comments  The set of components will provide functionalities related to IoT, robotics, AI, Big Data and HMI.
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Comments d) Plug-in, developing and adapting relevant soft matter modelling and simulation tools to digitally explore the performance of new formulations.
 Data communication infrastructure Taxon title Data communication infrastructure
 Business model aspects of digital platform deployment Taxon description Another difference is the central role of data for platforms, meaning that data governance is one of the essential elements of the value proposition of platforms.  
 R&I Objective 1.4: Artificial intelligence for productive, excellent, robust and agile manufacturing chains - Predictive manufacturing capabilities & logistics of the future Comments d) Plug-in, developing and adapting relevant soft matter modelling and simulation tools to digitally explore the performance of new formulations.
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Description A critical target will be the active and passive use of information from workers, without storing any personal data, in order to maintain the confidentiality of the person involved.
 Augmented Reality (AR) to support the integration of people with disabilities in the production line Result description The objective of the authoring tool is to facilitate the process of data ingestion and customization of AR instructions.
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Comments The data miming, real-time alerting and cognitive predictive meta-modelling is not a chimera.
 Monitoring System HW and SW Result description New measurement equipment replacing the old system featuring OPC-UA data transfer
 Data acquisition/monitoring/analysis (SCADA) implemented but isolated Taxon title Data acquisition/monitoring/analysis (SCADA) implemented but isolated
 Lessons learned Comments The data miming, real-time alerting and cognitive predictive meta-modelling is not a chimera.
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Description , enriching the manufacturing engineering process with on-line data, and simulating and optimizing the production process with the vision to support it in real-time.
Comments Optimize production processes and producibility  using Cloud/HPC-based modelling and simulation, leveraging online factury data and advanced data analytics, thus contributing to the competitiveness
 Cloud-based modelling for improving resin infusion process Result title Cloud-based modelling for improving resin infusion process
 Periodic Reporting for period 1 - CloudiFacturing (Cloudification of Production Engineering for Predictive Digital Manufacturing) Result description CloudiFacturing is a multi-strand project whose mission is: to optimize production processes and manufacturability using Cloud/HPC-based modelling and simulation, leveraging online factory data and advanced
 Optimizing design and production of electric devices Result comments Seamless, automated creation of production data avoids data handover errors and provides fast transition from simulation and design to manufacturing of motor prototypes.
 System modelling, simulation and forecasting Taxon title System modelling, simulation and forecasting
 Added Value from user perspective Taxon description In general, digital platforms offer added-value basd upon three main mechanisms: Reduction of transaction costs Network effects Use of data integration for new services
 Complex structures, geometries and scale Comments Optimize production processes and producibility  using Cloud/HPC-based modelling and simulation, leveraging online factury data and advanced data analytics, thus contributing to the competitiveness

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