ExpertiseUpdated on 16 May 2025

Data Spaces and GAIA-X

Patrick Bethke

Project Developer at Fraunhofer IGD

Rostock, Germany

About

Marispace-X is a pioneering digital maritime data space designed to enhance data sovereignty, security, interoperability, and modularity within the maritime industry. As a Gaia-X project, it revolutionizes maritime big data processing by integrating sensor data across Edge, Fog, and Cloud Computing.

Marispace-X accelerates the digitalization of the Blue Economy

Field

  • Data ecosystems

Organisation

Fraunhofer IGD

R&D Institution

Rostock, Germany

Similar opportunities

  • Project cooperation

    Circular quality assurance and assessment of remanufacturing

    • Early idea
    • Consortium seeks Partners

    Chris Schönekehs

    Research Associate at WZL RWTH Aachen University

    Aachen, Germany

  • Project cooperation

    AI, Digital Twin & Data-Driven Solutions for Circular Value Creation

    • Data technologies | Assistance and Expert systems
    • Enabling technologies | Network design of reverse supply chains
    • Data technologies | Design of an adaptable Digital Product Pass:
    • Enabling technologies | Robotic / handling - and assistance systems
    • Data technologies | (AI based) process and system control technologies
    • Enabling technologies | (Advanced) Materials and additive manufacturing
    • Data technologies | (AI based) Material and Product Design, Decomposition and Separation
    • Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
    • Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
    • Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
    • Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
    • Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
    • Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
    • Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
    • Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
    • Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
    • Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
    • Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
    • Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
    • Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)

    Süleyman Altınışık

    Expert R&D Engineer at OBSS Technology

    Istanbul, Türkiye

  • Expertise

    AI Expertise - Research

    • Data ecosystems
    • Industry 4.0 technologies
    • (AI based) recognition systems
    • Manufacturing and machine learning
    • (AI based) Material and Product Design
    • Simulation models and predictive analytics
    • (AI based) process and system control technologies

    Laura Bies

    Lab Lead Smart Quality at August-Wilhelm Scheer Institut

    Saarbrücken, Germany