Training materials
Keywords: ELIXIR-CONVERGE or FAIR or GraphDB
and Resource type: Presentation or Training materials
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Course materials, Training materials
"Ready for BioData Management?" Training Data Stewards for Life Sciences
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Video, Presentation
Introduction to the EGA and its Ecosystem of Tools
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Video, Training materials, E-learning
Semantic Standards
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Data handling Standardisation and normalisation Clinical data Data semantics FAIR Standards Ontology SNOMED CT LOINC ATC CHOP ICD Interoperability -
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 -
Video, Training materials, Mock data, E-learning
How to use Python and R with RDF Data
•• intermediateComputer science Data management FAIR data Medical informatics Query and retrieval Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph Python R GraphDB -
Training materials
BioData.pt | ELIXIR PT Training Data Stewards for Life Sciences - Intro Course
• beginnerFAIR data Open science Data management Data management plan data-science data-analysis Data Integration training open science data FAIRness FAIR FAIR principles life sciences data life cycle -
Presentation
DSW Workshop for Finnish Data Support Personnel
•• intermediateData management DMP DMP tools data stewardship FAIR FAIR data -
Presentation
DS Wizard and its Use
• beginnerData management DMP DMP tools data stewardship FAIR FAIR data -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing
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