HORIZON-INFRA-2026-01-EOSC-02: Trusted frameworks for secure and efficient data sharing in EOSC

SBA Research, in collaboration with TU Wien, brings a strong computer‑science basis and extensive expertise in Research Data Management (RDM). We are enthusiastic to join consortia applying for HORIZON‑INFRA‑2026‑01‑EOSC‑02: Trusted frameworks for secure and efficient data sharing in EOSC.

Together, our teams offer complementary strengths in:

• Trusted, secure, and auditable data processing, including provenance, auditability, and trust in data infrastructures.

• Automated, interoperable machine‑actionable Data Management Plans (maDMPs) and integrated RDM workflows supporting reliable EOSC‑level data exchange.

• FAIR data implementation and standardisation, with leading contributions to RDA DMP Common Standards and FAIR Data Austria. ]

• Resilient and sustainable digital ecosystems, including digital preservation strategies, continuity of service‑oriented architectures, and long‑term data access.

• Reproducibility and transparency in machine learning and information retrieval, advancing trustworthy data reuse across domains.

• Security‑focused data analysis, including adversarial‑example detection and intellectual‑property protection for machine‑learning models.

With this combined expertise, SBA Research and TU Wien are well positioned to contribute to building trusted, secure, and efficient data‑sharing frameworks within EOSC.
We welcome opportunities to join strong, interdisciplinary consortia and would be delighted to explore collaboration.