Work Package 4 Sustainable Data Frameworks for Wheat
Over the past 20 years, wheat research has seen a dramatic increase in digital data generation due to the genomic, post-genomic and high-throughput phenomics ages. Achieving sustainable wheat is fundamentally tied to achieving a long-term cohesive and inclusive data generation, analysis and management strategy.
Work Package 4 brings together research in the areas of data standards and coordination, wheat genomics, pathogen genomics, field and non-field phenotyping, machine learning, and data infrastructure to deliver a unified vision of how wheat data will contribute to sustainability. We aim to:
- generate improved wheat and pathogen genomes
- investigate the relationship between phenotype, genotype, and genomic structural variation
- develop existing, build new, and link together data resources and services
- expand, maintain and support data resources across the work packages
- provide access to large scale wheat data and analysis through a virtual cross-Institute TRE (Trusted Research Environment)
- bring compute and data storage capacity to users alongside key wheat datasets and software tools
