Training materials
Keywords: Variant-calling or Data publishing or Open science or metadata
and Target audience: Researcher in life sciences or bioinformaticians or policy officer
-
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 - Open Science and FAIR
• beginnerData management Open science FAIR data FAIR CONVERGE -
Slides
FAIR data - Module 4 (share and publish data)
• beginnerBioinformatics Biology Data management data sharing Data publishing legal framework data warehouse licensing data reuse -
Slides
FAIR data - Module 3 (Metadata)
• beginnerBioinformatics Biology Data management Data handling metadata data annotation life science standards data sharing -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
Computer Software, workflow
How to use V-pipe (SARS-CoV-2 data)
• beginnerVirology Genetic variation Workflows Variant calling Alignment Read pre-processing coronavirus NGS bioinformatics Variant-calling -
Slides
FAIRification & Data modelling