In this paper, we expand on the design and implementation of the Phenomics Ontology Driven Data repository [1] (PODD) with respect to the capture, storage and retrieval of data and metadata gen- erated at the High Resolution Plant Phenomics Centre (Canberra, Aus- tralia). PODD is a schema-driven Semantic Web database which uses the Resource Description Framework (RDF) model to store semi-structured information. RDF allows PODD to process information about a range of phenomics experiments without needing to define a universal schema for all of the di ff erent structures. To illustrate the process, exemplar datasets were generated using a medium throughput, high resolution, three-dimensional digitisation system purposely built for studying plant structure and function simultaneously under specific environmental con- ditions. The High Performance Compute (HPC), storage and data collec- tion publication aspects of the workflow and their realisation in CSIRO infrastructure are also discussed along with their relationship to PODD
