Training materials
Scientific topics: Data management or Drug discovery or Protein modifications or Proteomics
and Target audience: bioinformaticians or life scientists
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slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
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 2 (data life cycle)
• beginnerData management Biology Bioinformatics Data handling Data preserving Data storage -
Presentation
Reproducible data analysis with RStudio, github and Rmarkdown
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Presentation
Data security and encryption
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Presentation
Valorisation and intellectual properties in research data management
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Presentation
Preserve, publish and share your data
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Presentation
Reusing existing data
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Presentation
FAIRify your data: data documentation and metadata
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