Training materials
Difficulty level: Beginner
and Contributors: Andrea Argentini or Dan Bolser or Erasmus+ Programme or Martin Krzywinski or Niclas Jareborg or Patricia Palagi or Pratik Jagtap or Prof. Tom Freeman or Stéphanie Robin
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hands-on tutorial
Clinical-MP-4-Quantitation
• beginnerProteomics label-TMT11 -
hands-on tutorial
Clinical-MP-5-Data Interpretation
• beginnerProteomics label-TMT11 -
hands-on tutorial
Clinical-MP-3-Verification
• beginnerProteomics label-TMT11 -
hands-on tutorial
Clinical-MP-2-Discovery
• beginnerProteomics label-TMT11 -
hands-on tutorial
Clinical-MP-1-Database-Generation
• beginnerProteomics label-TMT11 -
Training materials
ELITMa Module "Data Management Strategy" (Finland 28-29 June 2023)
• beginnerResearch Data Management RDM Strategy Training -
lessons, e-learning
Introduction to Data Management Practices - Data Management Plans
• beginnerData management FAIR data Open science CONVERGE Data Stewardship Wizard Data management plan -
lessons, e-learning
Introduction to Data Management Practices - Versioning of data and code using Git
• beginnerData management FAIR data Software engineering RStudio CONVERGE README -
lessons, e-learning
Introduction to Data Management Practices - Introduction to RStudio
• beginnerData management FAIR data RStudio CONVERGE README -
lessons, e-learning
Introduction to Data Management Practices - Scripted analysis with R
• beginnerData management FAIR data Bioinformatics Data visualisation RStudio CONVERGE ggPlot