A unified ontology for DUS and performance testing data

Recommendations have been developed for the implementation of good practices in data exchange. The aim of this activity was to harmonise the data semantics within the datasets to guarantee the interoperability between partners, and to find a common ontology for the two types of variety testing data (DUS and VCU). Through this exercise, recommendations have been provided to ensure data interoperability based on the metadata.

It was concluded that defining a common ontology for DUS and VCU data is not a realistic solution, as there are several ontologies that need to be used to qualify data. Rather, it was recommended to focus more on metadata structure to detail the dataset content and the method applied to collect these data.