Training materials
Difficulty level: Beginner
and Contributors: Andrea Argentini or Dr. Jim Procter or Dr. Simon Tomlinson or Jaime Morris or John "Scooter" Morris or Martin Krzywinski or Mateusz Kuzak or Mattias Strömberg or Melanie Föll or Patricia Palagi or Portada: Enrique Sahagún or Prof. Tom Freeman
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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 -
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 - 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 -
hands-on tutorial
Hands-on for 'Label-free data analysis using MaxQuant' tutorial
• beginnerProteomics proteomics DDA label-free -
hands-on tutorial
Hands-on for 'Mass spectrometry imaging: Loading and exploring MSI data' tutorial
• beginnerProteomics proteomics mouse imaging -
hands-on tutorial
Hands-on for 'Mass spectrometry imaging: Examining the spatial distribution of analytes' tutorial
• beginnerMetabolomics metabolomics
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