
Semantic Modeling
Having a semantic model allows you to standardize and harmonize structured data so that it is comprehensible for both humans and machines. It is an essential step towards making data more FAIR and it facilitates data integration within and across R&D data domains. In contrast to other types of data models, a semantic model specifies the meaning (or semantics) of domain-specific concepts, such as genes, proteins and assays.
The Hyve can create semantic models that cover distinct biomedical domains, typically from pharma R&D departments, such as small and large molecule research, omics, clinical, etc.