P08.06 NFDI4Immuno: a federated fair infrastructure to accelerate data sharing in cancer immunotherapy

Background Precision cancer immunotherapy relies heavily on integrating high-dimensional datasets from diverse patient cohorts. However, strict GDPR requirements and data silos often hinder effective multi-center collaboration. Physicians and translational researchers face significant hurdles in accessing and sharing unique immunological data. NFDI4Immuno addresses this gap by establishing a specialized, GDPR-compliant infrastructure within the National Research Data Infrastructure (NFDI) to facilitate the secure open access sharing and analysis of complex immunological datasets in the near future.Material and methods The complexity and diversity of immunological data requires robust and standardized research data solutions. NFDI4Immuno addresses this challenge by developing a network of federated institutional repositories specifically designed for the different types of immunological data. The consortium brings together 15 partners (primary research institutions and Universities) across Germany to implement the FAIR (Findable, Accessible, Interoperable, and Reusable) principles across the immunological data landscape. It combines technical developers and operational young and senior experts in the fields, who collaboratively work in a structured, reflecting and constructive way, ensuring that the technical solution aligns directly with the practical needs of data producers and clinical users.Results We have defined and intensively worked on the definition and effective use of personal resources for a product, which will deliver a working end-to-end workflow. Authenticated users can securely deposit datasets via a standardized API, ensuring immediate discoverability while maintaining strict access controls. They can search for relevant data, and download datasets they have access to. Critical GDPR compliance features have been established. Additionally, the repository delivers user support structures in form of a helpdesk system and training material. The technical architecture of NFDI4Immuno includes developed software stacks and automated analysis pipelines. The initial focus is on Adaptive Immune Receptor Repertoire Sequencing (AIRR-seq) and cytometry data, whereas future plans include expanding to include other immunological data classes like reactivity and immunopeptidomics. The federated repository infrastructure enables researchers to deposit, discover and access high quality immunological data while maintaining appropriate access management and provenance tracking.At its core, NFDI4Immuno works towards seamless interoperability with other life sciences NFDI consortia, particularly GHGA, NFDI4Health, NFDI4Microbiota and NFDI4BIOIMAGE. Additional efforts focus on mapping to and integrating with existing external resources such as the AIRR Data Commons, creating harmonized data access and standardized data representations. This interoperability strategy enables cross-domain data discovery and reuse, facilitating novel insights at the intersection of immunology and related disciplines.Conclusion NFDI4Immuno will offer a practical, robust solution for the cancer immunology community, moving beyond theoretical concepts to a functioning service. By providing a secure environment for data federation, it empowers researchers to leverage collective data resources. This infrastructure not only fulfills ‘Open Science’ mandates but actively accelerates innovation by making valuable clinical data accessible for translational research.