Over the past 20 years, wheat research has seen a dramatic increase in digital data generation as a result of the genomic, post-genomic and high-throughput phenomics ages. Achieving a sustainable wheat strategy is fundamentally tied to achieving a long-term cohesive and inclusive data generation, analysis and management strategy. This work package brings together research in the areas of data standards and coordination, wheat genomics, pathogen genomics, field/non-field phenotyping and machine learning, and data infrastructure to deliver a unified vision of how wheat data will contribute to sustainability.