Training Primer (RDF and SPARQL)

The RDF and SPARQL training primer 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.

This introductory course provides general information about the motivations behind the use of RDF as the implementation technology behind the SPHN Interoperability Framework as well as an introduction to the use of ontologies and SPARQL as query language to interrogate RDF data.

Prerequisites:

None

After the training you will be able to:

  • Have a basic understanding of semantic web technologies such as RDF
  • How to build ontologies using RDF
  • How to load data into a triplestore (e.g., GraphDB)
  • Have a basic understanding of SPARQL as query language
  • Build a SPARQL query in the context of SPHN and run it in a triplestore

Resources:

All resources are available on the training's GitLab space

Licence: Creative Commons Attribution Share Alike 4.0 International

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Triplestore, Ontology


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, Philip Krauss

Contributors: Sabine Österle

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

Operations: Data retrieval, Data handling, Database search, Query and retrieval