The increasing volume, heterogeneity, and complexity of life science and agrosystem data require robust infrastructures and harmonised Research Data Management (RDM) practices to ensure Findability, Accessibility, Interoperability, and Reusability (FAIR). The German Network for Bioinformatics Infrastructure (de.NBI) and ELIXIR Germany address these challenges by providing domain-relevant bioinformatics services, standardised training programmes, and scalable compute resources through the de.NBI Cloud. These components support reproducible data processing, high-throughput analyses, and the implementation of structured metadata and ontological standards. These efforts closely align with the aims of the FAIRagro consortium, which is building a FAIR research data management ecosystem for agrosystem science. Synergies arise from shared challenges such as integrating heterogeneous datasets, adopting community standards, and providing scalable computation for data-intensive workflows. Additional alignment emerges through joint training activities, knowledge exchange, and collaborative contributions to interoperable workflows and metadata practices. By connecting infrastructures and expertise across domains, solutions developed within FAIRagro can be linked seamlessly to the wider national and European life science data landscape fostered by de.NBI & ELIXIR Germany. This poster showcases how de.NBI & ELIXIR Germany support researchers through training, cloud compute services, and practical RDM resources, and how these efforts complement FAIRagro’s mission. By strengthening cross-domain collaboration and promoting FAIR-aligned practices, both networks contribute to a sustainable ecosystem that enhances data quality, interoperability, and reuse across life science and agrosystem research communities.
Schnitzer et al. (2026) studied this question.