As Europe’s digital infrastructure grows more complex—linking IoT, Edge, Cloud, and AI technologies—ensuring the ethical, secure, and sustainable management of data has never been more critical. In the CyberNEMO project, this responsibility is not just a technical necessity—it’s a guiding principle.

CyberNEMO adopts a robust, forward-looking Data Management Strategy designed to support innovation while fully respecting data privacy, cybersecurity, and FAIR principles (Findable, Accessible, Interoperable, Reusable). This approach enables the project to handle a wide range of data, from real-time IoT sensor streams to penetration testing logs and AI training datasets, while promoting transparency and reusability.

Key highlights of the strategy include:
• Use of trusted, secure repositories (e.g., EOSC, Zenodo) with persistent identifiers and standard metadata for traceability.
• Full alignment with GDPR and ethical AI frameworks, using anonymization, pseudonymization, and multi-layered security safeguards.
• Promotion of Open Science, including open access to peer-reviewed publications, AI/ML models, and experimental results.
• A structured and evolving data lifecycle that adapts to emerging risks, standards, and stakeholder feedback.

CyberNEMO not only ensures responsible data stewardship within the project but also creates a replicable model for European research and innovation. By combining technical excellence with ethical governance, CyberNEMO is helping shape a secure and trustworthy digital future.

By ASM