AI-Enabled Data Lifecycles Optimization and Data Spaces Integration for Increased Efficiency and Interoperability
PLIADES advances the SoA dataspaces reference architectures, towards a step change on the use of data as key enabler of technological advances in AI and Robotics. To this end, PLIADES research into novel, AI-enabled tools to advance full data life cycles integration, both within and between data spaces.
- Sustainable data creation methods through data compression, filtering and normalization will be developed, to allow efficient and greener storage in a data-oriented future.
- Data privacy and sovereignty will be further ensured, through standards and decentralized protocols to protect data-producing organizations and citizens.
- Data sharing will be revolutionized through novel AI-based brokers and connectors using extended metadata, shaped through the project’s best practices and domain expert’s knowledge.
- Active data discovery services through cross domain AI connectors will allow creating linked data spaces, enabling interoperability between previously disconnected entities, while data quality assessment services will facilitate real time data evaluation.
- Extended synergies with EU initiatives will be established in order to contribute models, strategies and technologies for a Common European Data Space.
Our outcomes will be evaluated in six use cases focusing on direct advancements in key AI and Robotics technologies for everyday use, oriented around multiple data spaces; mobility, healthcare, industry, energy and green deal. Our use cases provide a challenging validation suite involving vast heterogeneous data creation, management and sharing while addressing full data lifecycles in multiple major domains. Through the developed ecosystem, CCAM and ADAS/AD car technologies will be enhanced, HRI for robot operators and healthcare patients will be reshaped, while further advanced, integrated data spaces will be deployed in the healthcare, manufacturing and green deal sectors aiming to reduce carbon footprints and shape a greener future.
Objective
PLIADES aims to facilitate cross-domain data sharing by enabling users from diverse and heterogeneous data spaces to exchange data safely and seamlessly. The project lays the foundation for the development of a versatile data exchange ecosystem that integrates various data spaces. This is accomplished by extending the specification of IDS RAM with cross-domain data services, which augment the capabilities of IDS Connectors and facilitate decentralized data management as it is presented in the following figure.
In addition, the project presents a cutting-edge data integration framework that places emphasis on the entire data life cycle, while also considering environmental and security factors. Each distinct data space provides a variety of services for data governance and management, data exchange, identity management, certification, and other domain-specific services and authorities. In accordance with the conventional data exchange paradigm of IDS RAM v4.0, each data transaction involves a data provider and a data consumer, as illustrated in the figure.
The data consumer communicates with a metadata broker service to discover data sources (data providers) in the data space. A certification authority verifies the legitimacy of both parties and grants them permission to exchange data through connector services. These services offer data transformation capabilities and comply with a specified communication protocol to transmit the data. To promote interoperability, the PLIADES research project suggests a collection of cross-domain services that amalgamate information from various domain services.
Duration and partners
Duration: January 1, 2024 – June 30, 2027 (42 months)
Partners:
- ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (CERTH) Greece
- COMPETENCE CENTER I4BYDESIGN PRIVATE COMPANY (I4ByDesign) Greece
- ATLANTIS ENGINEERING SA (ATLA) Greece
- FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH (VICOM) Spain
- Fundació Eurecat (EURECAT) Spain
- Energy@Work Società Cooperativa a a.r.l. (E@W) Italy
- Tallinn University of Technology (Taltech) Estonia
- Innovalia (INNO) Spain
- FUNDACION TECNALIA RESEARCH & INNOVATION (TECNALIA) Spain
- Industrias Puigjaner S.A. (DENN) Spain
- Blue Ocean Robotics ApS (BOR) Denmark
- CESKE VYSOKE UCENI TECHNICKE V PRAZE (CVUT) Czechia
- TECHNISCHE HOCHSCHULE INGOLSTADT (THI) Germany
- ZERO GmbH (ZERO) Germany
- Universidad Carlos III de Madrid (UC3M) Spain
- Mondragon Goi Eskola Politeknikoa J.M.A S.Coop (MU-EPS) Spain
- Katholieke Universiteit Leuven (KUL) Belgium
- ASOCIACIÓN CENTRO TECNOLÓGICO CEIT (CEIT) Spain
- International Data Spaces e. V. (IDSA) Germany
- NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO (TNO) Netherlands
- Asociación Centro de Investigación Cooperativa en Biociencias (CICbioGUNE) Spain
- Asociación Centro Vasco de Movilidad Conectada, Cooperativa y Autónoma (BasqueCCAM) Spain
- AVL List GmbH (AVL) Austria
- White Research SRL (WR) Belgium
- HYPERTECH (CHAIPERTEK) ANONYMOS VIOMICHANIKI EMPORIKI ETAIREIA PLIROFORIKIS KAI NEON TECHNOLOGION (HYP) Greece
- Libattion AG (LIBATTION) Switzerland
Funding
Funding source: Horizon-CL4-2023-DATA-01-02
Budget: total budget is 9.8M EUR (budget for the FinEst Centre is 200k EUR).
The Role of the FinEst Centre for Smart Cities
FinEst Centre’s role is to contribute to the elaboration of system requirements and use-cases, and offer technical expertise in data generation, harmonization and re-use focusing on mobility. Prof. Mauro Bellone will have a lead role in delivering those tasks.
From Tallinn University of Tehnology, the autonomous vehicle research group is also involved in the project.
