Resource type: hackathon or E-learning
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...
Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science
Operations: Editing, Ontology visualisation, Visualisation, Data handling
Keywords: Clinical data, Data semantics, FAIR, Ontology editing, Protegé, RDF, OWL
Resource type: Video, Training materials, E-learning
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...
Scientific topics: Computer science, Data management, FAIR data, Medical informatics, Ontology and terminology
Operations: Query and retrieval, Database search, Data handling, Data retrieval
Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Triplestore, Ontology
Resource type: Video, Training materials, E-learning
This video was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and serves as an introduction to the main standards used within the [SPHN Interoperability...
Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science
Operations: Standardisation and normalisation, Data handling
Keywords: Clinical data, Data semantics, FAIR, Standards, Ontology, SNOMED CT, LOINC, ATC, CHOP, ICD
Resource type: Video, Training materials, E-learning
RDF Schema and Data Visualization 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...
Scientific topics: Data visualisation, Medical informatics, FAIR data, Data management, Computer science
Operations: Ontology visualisation, Visualisation, Data retrieval, Data handling, Query and retrieval
Keywords: Clinical data, SPARQL, Data visualization, RDF, Knowledge graph, GraphDB, Mock data
Resource type: Video, Training materials, Mock data, E-learning
Validate Graph Data with SHACL 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...
Scientific topics: Computer science, Data management, FAIR data, Medical informatics
Operations: Data handling, Validation
Keywords: Clinical data, SHACL, Data validation, RDF, Knowledge graph, GraphDB, RDF, RDF graph validation
Resource type: Video, Training materials, E-learning
How to use Python and R with RDF Data 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 centred around the [SPHN Interoperability...
Scientific topics: Medical informatics, FAIR data, Data management, Computer science
Operations: Data retrieval, Data handling, Query and retrieval
Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Python, R, GraphDB
Resource type: Video, Training materials, Mock data, E-learning
Querying Data with SPARQL 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...
Scientific topics: Computer science, Data management, FAIR data, Medical informatics
Operations: Query and retrieval, Database search, Data handling, Data retrieval
Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, SNOMED CT, LOINC
Resource type: Video, Training materials with mock data, E-learning
Under the subtitle “Getting into using ELNs for experimental and computational workflows”, participants learned how to establish a workflow using Scinote-based electronic lab notebooks. It started with an introduction to the Scinote inventory and continues with hands-on instructions on how to...
Resource type: Presentation, hackathon
