Expanding the SPHN RDF Schema

Expanding the SPHN RDF Schema is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the SPHN Interoperability Framework developed by the SPHN Data Coordination Center (DCC). The framework aims at facilitating collaborative research by providing a decentralized infrastructure sustained by a strong semantic layer (SPHN Dataset) and graph technology, based on RDF, for the exchange and storage of data.

As projects comes with specific needs, the SPHN Dataset and its related RDF schema can be extended to cover their requirements. This training highlights the necessary steps that lead to an extension of the SPHN RDF schema using an example concept -Fluid Balance- and Protégé, a desktop-tool for editing ontologies.

Prerequisites:

  • Basic understanding of ontologies and RDF
  • Basic understanding of the SPHN Interoperability Framework strategy

After the training you will be able to:

  • Understanding SPHN’s strategy for projects
  • Load the SPHN template ontology into Protégé
  • Build an ontology (classes, properties) in Protégé by expanding the SPHN RDF schema with an example concept.

Resources:

All resources are available on the training's GitLab space

Licence: Creative Commons Attribution Share Alike 4.0 International

Keywords: Clinical data, Data semantics, FAIR, Ontology editing, Protegé, RDF, OWL


Additional information

Target audience: Research Scientists, Data Managers, Biomedical Researchers, Bioinformaticians, Data Scientists

Resource type: Video, Training materials, E-learning

Status: Archived

Authors: Personalized Health Informatics Group, Vasundra Touré

Contributors: Kristin Gnodke, Sabine Österle

Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science

Operations: Editing, Ontology visualisation, Visualisation, Data handling