Engineering Innovation in
Digital Defense, Aerospace & Homeland Security
Delivering the foundation for a trusted European Research Data Ecosystem (RDE) to address the ‘Data Issue’ in the research landscape for the fight against crime and terrorism.
Approach & Solution
Approach
Evaluating the shortage of qualitatively and quantitatively adequate datasets to support research in the fight against organized crime and terrorism (FCT) represents a significant barrier to innovating techniques, platforms, and tools made available to law enforcement agencies.
LAGO will address the data issue in the FCT research landscape by building an evidence-based and validated multi-actor reference architecture for a trusted EU FCT Research Data Ecosystem (RDE).
To this purpose, LAGO fosters and innovate data-oriented research collaboration among LEAs, security practitioners, relevant EU agencies, academic and industry researchers, policy makers and regulators.
LAGO will address the data issue in the FCT research landscape by building an evidence-based and validated multi-actor reference architecture for a trusted EU FCT Research Data Ecosystem (RDE).
To this purpose, LAGO fosters and innovate data-oriented research collaboration among LEAs, security practitioners, relevant EU agencies, academic and industry researchers, policy makers and regulators.
Solution
LAGO creates a multi-actor Reference Architecture to facilitate depositing, sharing, and co-creating data and tools for FCT research. Built on design principles like decentralization, data sovereignty, data quality, trust and transparency, it aligns with EU values on data protection and ethics.
The project aims to innovate FCT data-oriented research by laying foundations for sustainable, safe, and trusted practices for training and testing datasets.
Engineering is the project coordinator, leads the definition of the Reference Architecture and the Implementation Framewok bringing relevant GAIA-X knowledge and expertise. Engineering also leads the Data Catalog implementation.
The project has received co-funding from the European Union's Horizon 2020 programme - Contract No. 101073951.
Results
Reference Architecture of the EU FCT Trusted RDE
Reference implementation of the FCT RDE
Operational governance model for the Data Spaces
Roadmap for the implementation of the EU FCT RDE
Project value
Innovation
Enabling Technologies
XR
AI Advanced Analytics
Project Team
Research Innovation