Training materials
Keywords: FAIR or Structural variations or life science standards
and Target audience: Any student, postdoc or RA who has an interest ... or Bioimage Analysts or Scientists or bioinformaticians
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lessons, e-learning
Introduction to Data Management Practices - Cleaning tabular data with OpenRefine
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Data publication
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Metadata
• beginnerData management FAIR data data organisation FAIR CONVERGE ontologies metadata Controlled vocabularies -
lessons, e-learning
Introduction to Data Management Practices - Data organisation practices
• beginnerData management FAIR data data organisation FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Open Science and FAIR
• beginnerData management Open science FAIR data FAIR CONVERGE -
Slides
FAIR data - Module 3 (Metadata)
• beginnerBioinformatics Biology Data management Data handling metadata data annotation life science standards data sharing -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
Slides
FAIRification & Data modelling
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Slides, Training materials
FAIR Data Stewardship - Data sharing, archiving and publishing
• beginnerData Life Cycle FAIR data management data stewardship data repositories data sharing data publication -
SV-Autopilot: the new face of Structural Variant Detection