Semantic Modeling

Simplify your research data integration & management with a Semantic Model

Having a semantic representation of data ensures that researchers and analysts as well as machines unambiguously understand the data, its context, and its qualitative aspects. This may include experimental details (e.g. type of assay, experimental factors), provenance (e.g. who produced the data, traceability), or other metadata (e.g. usage conditions, qualified references to other sources).

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What we offer

Our Semantic Modeling services include

Building a Semantic Model (using RDFS or OWL) for R&D research covering areas like Project, Study, Assay, Dataset, Clinical Trial, etc. We can also provide integration of a range of biomedical data - PK/PD, Omics, ELNs, sample inventories, public datasets, CMC data, etc.

Aligning metadata with enterprise data governance, i.e. the common vocabularies/ontologies/metadata guidelines used within the organization.

Data curation to increase interoperability and usability of data using open-source industry-standard ontologies and vocabularies and building knowledge graphs.

Challenges that can be solved with a Semantic Model

  • Data lives in specific vendor applications, which hampers data integration, use of the data in new scenarios, and prevents a unified view of the data within the company.

  • Having the data in an application-specific structure is useful as long as it is used within the application. It might prevent use outside the application, though, which is especially problematic when the application is no longer supported or replaced.

  • Legacy data becomes unusable when the meaning or context can no longer be retrieved.

  • Data across subsequent stages of R&D is unlinked and therefore impossible to interpret.

Semantic Modeling infographic

Are you, as a data steward, data scientist or researcher, constantly wasting time cleaning and structuring siloed data from different data sources and datasets? And does the way the data is stored and annotated hinder you in making biomedical discoveries?

Maybe you have just started looking into semantic models and knowledge graphs as a solution for these time and resource consuming efforts? This infographic shows the benefits of semantic models and knowledge graphs and how The Hyve, in collaboration with a top pharma company, solved their data integration challenge.

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