Projects
Launchpad to the real world!
IDS research projects are the springboards that bring fundamental IDS concepts to life, test first proofs–of–concept and stimulate the adoption of IDS ideas.
IDSA as consortium partner
The consortium is at the heart of any research project. It is not only a written requirement for collaborative projects in Europe, but also crucial to the success of the project itself. See for yourself in which research or coordination projects IDSA is a consortium partner.
Accomplish
Short description
ACCOMPLISH aims to revolutionize regulatory compliance in data and AI operations through an AI-powered framework. By introducing a Compliance Digital Passport, the project facilitates real-time, dynamic compliance updates across industries such as energy, automotive, and aviation. It integrates legal, ethical, and sustainability considerations into data-driven processes, ensuring seamless adherence to regulations such as GDPR and the AI Act.
IDSA’s contribution
IDSA contributes to ACCOMPLISH by leading efforts in architecture design, certification, policy modeling for AI, dissemination, and impact creation. Our role ensures that the compliance mechanisms are interoperable, scalable, and aligned with international standards, facilitating the responsible use of AI and data across sectors.
DATAMITE - DATA Monetization, Interoperability, Trading & Exchange
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.
DIVINE - DemonstratIng the Value of data sharINg to boost the agri-data Economy
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.
LICORICE
Short description
The LICORICE project aims to enhance cybersecurity by developing tools and solutions for safer online environments, digital services, and processes. By focusing on secure data handling and trust mechanisms, LICORICE ensures that both businesses and citizens benefit from high levels of security, trust, and data protection. The project contributes to the European cybersecurity ecosystem by strengthening digital resilience and compliance with evolving regulations.
IDSA’s contribution
IDSA plays an important role in the LICORICE project by contributing expertise in legal, ethics, standardization, exploitation, and stakeholder engagement. Our focus is on ensuring that cybersecurity solutions align with regulatory frameworks, fostering trust in data sharing while supporting the development of standardized security mechanisms.
PLIADES - AI-Enabled Data Lifecycles Optimization and Data Spaces Integration for Increased Efficiency and Interoperability
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.
TANGO – Digital Technologies ActiNg as a Gatekeeper to information and data flOws
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
AgriDataValue
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.
DATAPACT
Short description
The DATAPACT project focuses on establishing trustworthy and transparent data-sharing ecosystems by embedding compliance, ethics, and sustainability principles into AI and data pipelines. By automating compliance processes and enhancing data governance frameworks, the project ensures organizations can securely share and utilize data across diverse industries, including healthcare, urban planning, and marketing.
IDSA’s contribution
IDSA supports DATAPACT through dissemination, impact creation, architecture development, and requirements analysis. Our expertise helps shape the project’s framework, ensuring robust governance models and scalable compliance tools that align with emerging EU regulations and data-sharing policies.
HEALTH-X DATALOFT
Short description
Health-X Dataloft supports the vision of a European health data space in which patients enjoy the full digital sovereignty over their data. Health-X Dataloft delivers on the need to unify the control and access of data from the primary and secondary healthcare market by implementing IDS enabled GAIA-X infrastructure components to facilitate cross sectoral interoperability and trustworthy data sharing.
Overall goal
The approach aims to put citizens at the center of consideration for the provision, the use case as well as their control of sharing or keeping their own health data from the two health markets.
MERLOT – MarkEtplace foR LifelOng educaTional dataspaces and smart service provisioning
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
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.
Omega-X – Orchestrating an interoperable sovereign federated Multi-vector Energy data space built on open standards and ready for Gaia-X.
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.
WILSON – Distributed data modelling and Federated Digital Twinning for lifecycle data-driven sustainable operation and management of buildings and districts
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.
Any questions? Contact us!
Your contact person:
Silvia Castellvi
Director Research & Standardization
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