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Active HORIZON European Commission

Automated end-to-end data life cycle management for FAIR data integration, processing and re-use

€8.89M EUR

Funder European Commission
Recipient Organization Ntt Data Spain, Sl
Country Spain
Start Date Jan 01, 2024
End Date Dec 31, 2026
Duration 1,095 days
Number of Grantees 27
Roles Participant; Third Party; Coordinator
Data Source European Commission
Grant ID 101135513
Grant Description

The ability to integrate data from multiple sources is nowadays a major competitive advantage for organizations.

Data-driven applications using AI techniques are reshaping various industries such as manufacturing, tourism, and mobility.

The European Strategy for Data aims to create a single market for data while ensuring Europe's global competitiveness and data sovereignty.

This has led to the development of Common European data spaces, yet the governance of the data life cycle in organizations has not kept up with the rapid technology evolution and remains largely manual.

This is especially evident in scenarios where tens or hundreds of continuously evolving data sources produce semi-structured data, and create significant challenges when governed manually, causing organizations to end up with data silos.

A systematic and standardized mechanism is needed to ingest, integrate, and process data, thus boosting the ability to develop new data-centric business models.

However, current research and development efforts typically target one aspect of the end-to-end data lifecycle, such as scalable data management, ML performance, AI explainability, or sharing, while dismissing its governance.

To overcome this limitation, CyclOps proposes a new framework for the governance and maintenance of the complete data lifecycle for large-scale volumes of data generated in heterogeneous distributed sources to enable data sharing and exchange.

CyclOps intelligently automates, by means of knowledge graphs (KGs) and with a human-in-the-loop approach, the generation and execution of data processing pipelines.

KGs are the established formal models to represent data and metadata while providing context and guaranteeing interoperability with other systems adhering to the FAIR Guiding Principles.

CyclOps will enable organizations to seamlessly provide, cross and analyze machine- and human-generated data from and for data spaces, thus facilitating the provision of added-value services on top.

All Grantees

Anysolution Sl; Timelex; Ntt Data Spain Soluciones Tecnologicas Sl; University College Dublin, National University of Ireland, Dublin; Ethniko Kentro Erevnas Kai Technologikis Anaptyxis; Ntt Data Spain, Sl; Tsekouras Etaireia Periorismenis Efthynis; Suite5 Data Intelligence Solutions Limited; Cesgarden Sl; Arvanitidis Grafikes Technes - Ektiposeis - Abee; Technische Universitaet Braunschweig; Atos Spain Sa; Eviden Technologies Srl; Avoris Retail Division Sl; Datacalculus Ou; Four Dot Infinity Information and Telecommunications Solutions Private Company; Accademia Europea Di Bolzano; Universitat Politecnica de Catalunya; Ontopic Srl; Expert.Ai S.P.A.; Libera Universita Di Bolzano; Fiware Foundation Ev; Eodc Earth Observation Data Centrefor Water Resources Monitoring Gmbh; Apidae Tourisme Sa; Eona-X; Atos It Solutions and Services Iberia Sl; Barcelona Supercomputing Center Centro Nacional de Supercomputacion

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