Establish Semantic Interoperability Across Research Using Ontologies


...faced by our customer:

  • Limited categorization of research data according to relevant entities and concepts
  • No capturing of contextualization and/or semantic information of life science data, metadata, concepts, terms and their relations
  • Limited number of controlled vocabularies and dictionaries with ambiguous definitions lacking internal alignment
  • A wide variety of ontology, taxonomy, and terminology management systems available on the market. Can they keep their promise in the complex life science domain?
  • Selection, validation, implementation and deployment of a state-of-the art ontology management system
  • Push standardized ontologies via APIs and REST interfaces to recipient lab and research informatics systems like ELN, chemical and biological registration, assay results, etc.
  • Exemplified data governance processes based on data foundation of the ontology management system
  • Increased awareness of customers‘ scientific community for the business values of FAIR data and „Data as an asset“ mindset
Business Value
  • One system of truth for terminologies instead of many, reducing complexity and overhead of data management
  • New lab /research informatics systems can be adapted quickly to naming standards, reducing time to critical business insights
  • Semantic interoperability of research projects decreases ambiguity of scientific terminologies and its usage, increasing research efficiency and data quality
Dr. Michael Engels
Head of Consulting
Pranav Kulkarni
Senior Consultant | BioInformatics | Semantics

Demo Title

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