Training materials
Keywords: Knowledge graph or jobs
and Resource type: Jupyter notebook or R Shiny application or Video or hands-on tutorial
-
hands-on tutorial
Hands-on for 'Use Apptainer containers for running Galaxy jobs' tutorial
-
Video, E-learning
FAIR principles in practice for health data
• beginnerComputer science Data management FAIR data Medical informatics Standardisation and normalisation Design Clinical data RDF Knowledge graph Semantic framework FAIR Findability Accessibility Interoperability Reusability -
hands-on tutorial
Hands-on for 'Use Singularity containers for running Galaxy jobs' tutorial
-
hands-on tutorial
Hands-on for 'Training Infrastructure as a Service (TIaaS)' tutorial
-
hands-on tutorial
Hands-on for 'Connecting Galaxy to a compute cluster' tutorial
-
hands-on tutorial
Hands-on for 'Mapping Jobs to Destinations using TPV' tutorial
-
hands-on tutorial
Hands-on for 'Running Jobs on Remote Resources with Pulsar' tutorial
-
Video, Training materials, E-learning
Training Primer (RDF and SPARQL)
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Query and retrieval Database search Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph Triplestore Ontology -
Video, Training materials, Mock data, E-learning
RDF Schema and Data Visualization
• beginnerData visualisation Medical informatics FAIR data Data management Computer science Ontology visualisation Visualisation Data retrieval Data handling Query and retrieval Clinical data SPARQL Data visualization RDF Knowledge graph GraphDB Mock data -
Video, Training materials, E-learning
Validate Graph Data with SHACL
•• intermediateMedical informatics FAIR data Data management Computer science Validation Data handling Clinical data SHACL Data validation RDF Knowledge graph GraphDB RDF graph validation
- 1
- 2