Ontologies and Semantic Interoperability
We develop mid- and domain-level ontologies in collaboration with research communities to create semantic bridges between different systems, applications, and stakeholders. By defining common vocabularies, providing clear descriptions of concepts, and establishing shared formal representations of knowledge, we enable unambiguous interpretation of data, even when underlying systems and terminologies differ. This facilitates data exchange and integration across disciplines and research methods, ultimately promoting scientific collaboration and knowledge sharing.
EM Glossary: Interoperability in electron microscopy
The EM Glossary is a comprehensive, collaborative project designed to harmonize terminology in electron microscopy. This initiative focuses on creating a unified, accessible glossary that improves the consistency and clarity of terms used within scientific research and metadata. By gathering and aligning terminology from a variety of projects, the EM Glossary helps bridge gaps between this research, ensuring precise and consistent communication between them. By offering clear definitions and relationships between terms, the EM Glossary fosters greater collaboration, reduces ambiguity, and supports better integration of research data, ultimately enhancing the quality and transparency of scientific metadata.
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Helmholtz Digitization Ontology (HDO)
The Helmholtz Digitization Ontology (HDO) provides a standardized framework for describing and managing digitized research objects and processes. Developed by the Helmholtz Metadata Collaboration (HMC), it captures key metadata about data, digital objects and information as well as their creation and transformation during curation and storage. The ontology enhances interoperability, data discoverability, and long-term usability across research communities.
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