Launchpad to the real world!

Short description

Agriculture faces major challenges: It must meet the world’s food needs, provide farmers with an adequate income and protect the environment at the same time. To achieve these goals, smart agriculture and careful use of resources are required. AgriDataValue aims to establish itself as a “game changer” in the field of smart agriculture and agri-environmental monitoring.

Overall goal

The project will strengthen smart agriculture capacity, competitiveness and fair income through the implementation of an innovative, intelligent and multi-technological fully distributed platform.
AgriDataValue takes a multi-dimensional approach that combines Big Data and Data Spaces technologies (BDVA/IDSA/GAIA-X) with agricultural knowledge, new business models and agri-environmental measures.

Short description

DaCapo aims to create human-centric digital tools and services that promote the adoption of Circular Economy strategies across manufacturing value chains and product lifecycles. By leveraging digital assets, AI-based systems, and Digital Twins, these tools and services will enhance sustainability, efficiency, and the use of resources in manufacturing. The project will develop a new methodological approach that considers business models, material flows, and circular strategies to support decision-making.

Overall goal

The overall goal of DaCapo is to foster widespread adoption of Circular Economy strategies in manufacturing. Through digital tools and services, it drives sustainability, efficiency, and resource optimization. DaCapo will establish a digital architecture aligned with interoperability and connectivity standards, ensuring seamless data sharing and integration. This architecture will be based on the IDS standard. IDSA also plays a leading role in standardization activities. The project will be demonstrated in production and consumer environments related to aeronautics, electronics, and logistics.

Short description

DATAMITE will provide a modular framework for European companies to facilitate data monetization, interoperability, trading and exchange. To this end, the project will provide users with tools and open-source training materials to help improve data management and compliance with FAIR principles.

Overall goal

The goal is to open new revenue streams and business models through sovereign data sharing. DATAMITE will validate the results in three different use cases, demonstrating that the framework is interoperable and applicable in different domains and user needs: 1) intra-enterprise, cross-sector data sharing; 2) data trading between data spaces; 3) integration with other initiatives such as data markets, EU AI on Demand platform or DIHs.

Short description

DAT4.Zero is a digitally-enhanced quality management system (DQM) that gathers and organizes data from a distributed multi-sensor network (DMN), which offers adequate levels of data accuracy and precision for effective decision support and problem-solving. The system usessmart, dynamic feedback and feed-forward mechanisms with the aim of achieving zero defect manufacturing.

Overall goal

The aim of DAT4.Zero is to integrate smart, cost-effective sensors and actuators for process simulation, monitoring, and control; to develop real-time data validation and integrity strategies within actual production lines; to demonstrate innovative data management strategies as an integrated approach to ZDM and to develop strategies for rapid line qualification and reconfiguration

Short description

Although some players in agriculture are making good use of the data they generate, the industry still lacks holistic approaches to data sharing and analysis along the entire agri-food supply chain. The DIVINE project will build an agricultural data ecosystem that incorporates existing agricultural data spaces while conducting industry-led pilots based on data sharing agreements.

Overall goal

The goal of DIVINE is to demonstrate the cost-benefit and added value of agricultural data sharing. DIVINE will promote its ecosystem and assessments to technology providers, policymakers, agriculture representatives, and various other agricultural data stakeholders. It will take the first concrete steps towards mature data markets in European and global agriculture.

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Short description

Manufacturing data spaces for Europe development has been so far conducted by many different alliances, projects, networks and in many cases driven in the context of National Industry 4.0 initiatives and within seed disconnected projects to establish the first “embryonic data spaces” for different applications in different manufacturing sectors.

Overall goal

The data space development should not only break data silos per-se, but it should also break the data space development silos. Therefore, the main mission of EU DATA SP4CE is to facilitate a “sectorial alliance” that brings a unified voice across national initiatives & EU manufacturing data-driven initiatives (European, national, regional, local, offer, demand) under one common governance framework for technical and business alignment to capitalize on recently established data directives and regulations and unlock business models and rich data value chains in manufacturing products, factories and supply chains.

Short description

Short description

MERLOT is one of eleven projects awarded in the funding competition “Innovative and practical applications and data spaces in the Gaia-X digital ecosystem”. The project’s goal is to digitize the education sector in Europe. This will enable European citizens to have better learning outputs and gain equal access to education. To achieve this, the processing of sensitive personal data is necessary

Overall goal

MERLOT aims to establish an educational data space, encompassing federated services, data marketplace and the sovereign sharing of data between participants. By using the GXFS structure, complemented with IDS data space expertise, learners, schools, public institutions, and educational service providers will be able to share sensitive educational data in a GDPR-compliant manner – without having to enter into separate individual agreements or compromising privacy.

IDSA will ensure the transfer of knowledge about data spaces into the project, but also from the projects into a common standard and underlying components as open-source software. DSA will also create a technical, legal and Gaia-X compliant concept for educational data spaces and for smart educational services.

Short description

Omega-X stands for Orchestrating an interoperable sovereign federated Multi-vector Energy data space built on open standards and ready for Gaia-X. The proposed concept and architecture heavily rely on the approaches adopted by IDSA, GAIA-X, FIWARE, BDVA/DAIRO and SGAM as major EU references regarding data spaces. It will pursue the GAIA-X label, which ensures highest standards on protection, security, transparency, openness and trust, avoids vendor lock-in and is restricted to EU countries.

Overall goal

The aim of this European research and innovation action is to implement an Energy Data Space which will be based on common European standards, including a federated infrastructure, a data marketplace, and a service marketplace.

Short description

PLIADES advances data space reference architectures, empowering data as a key driver for AI and Robotics innovation. It pioneers AI-enabled tools for seamless data integration across life cycles within and between data spaces. Sustainable data creation methods ensure efficient storage with reduced environmental impact. Data privacy and sovereignty are fortified through decentralized protocols. IDS-based brokers and data connectors revolutionize data sharing, enhancing metadata for improved interoperability. Active data discovery services enable linked data spaces and real-time data evaluation. Collaborations with EU initiatives contribute to a Common European Data Space. Six diverse use cases validate advancements in AI and Robotics, spanning mobility, healthcare, industry, energy, and green deal sectors.

 IDSA’s contribution

The project capitalizes on the IDS-RAM to comprehensively analyze technical, functional, and organizational requirements for sovereign data sharing. Through threat and risk analysis, security measures are devised, prioritizing essential features of trusted connectors like App Isolation and Data Usage Control. Utilizing IDS-RAM ensures not only data sovereignty but also secure data sharing and compatibility with diverse protocols.

Short description

TANGO will establish a stronger cross-sector data sharing. The overall outcome of the project is a novel platform that allows user-friendly, secure, trustworthy, compliant, fair, transparent, accountable, and environmentally sustainable data management. The platform will promote trustworthy and digitally enabled interactions across society, having at its core technology components for distributed, privacy preserving and environmentally sustainable data collection, processing, analysis, sharing and storage.

Overall goal

TANGO aims at leveraging the power of emerging digital technologies to strengthen the privacy for citizens and private/public organizations, reduce costs and improve productivity. It will unlock the innovation potential of digital technologies for decentralized, privacy-preserving applications, while making accessible and demonstrating this potential within the GAIA-X and EOSC ecosystem

Short description

As the built environment confronts challenges like climate change, energy consumption, and social inequality, there’s an increasing need for sustainable building practices that go beyond just energy efficiency. These practices must address environmental, social, and economic factors throughout the entire lifecycle of buildings. In response to these challenges, WILSON introduces an innovative approach that utilizes semantic data repositories, cognitive digital twins, and decentralized data management to revolutionize building and portfolio management

Overall goal

The project’s primary aim is to enhance sustainability by employing advanced technologies and novel management practices. Central to WILSON’s development is a decentralized data mesh architecture, designed to be independent of and compatible with proprietary Building Management Systems (BMS) and Digital Twin Systems. The key goals include improving building operations, assessing environmental impact, and enhancing building diagnostics and monitoring. To achieve this, Personalized Data Hubs (PDHs) will connect and integrate all WILSON solutions, following International Data Spaces (IDS) principles.