Training materials
Difficulty level: Beginner
and Contributors: Dr. Roland Schwarz or Emily Angiolini or Gautier Sarah or Melanie Föll or Nazeefa Fatima or Pavel Dvorak or Prof. Tom Freeman
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Training materials
ELITMa Module "Data Management Strategy" (Finland 28-29 June 2023)
• beginnerResearch Data Management RDM Strategy Training -
hands-on tutorial
Hands-on for 'Label-free data analysis using MaxQuant' tutorial
• beginnerproteomics DDA label-free -
hands-on tutorial
Hands-on for 'Mass spectrometry imaging: Loading and exploring MSI data' tutorial
• beginnerproteomics mouse imaging -
hands-on tutorial
Mass spectrometry imaging: Examining the spatial distribution of analytes
• beginnerMetabolomics -
hands-on tutorial
How to reproduce published Galaxy analyses
• beginnerIntroduction to Galaxy Analyses -
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 -
Slides
Data Management Planning workshop for new Life Science Projects
• beginnerData management Deposition Data handling Data retrieval data management plan NeLS TSD metadata sensitive data publication data protection storage identifiers DMP licensing Compliance data life cycle - collect data life cycle - reuse data life cycle - analyse data life cycle - process data life cycle - preserve data life cycle - share data life cycle - plan -
Train the trainer
• beginnerComputational biology Bioinformatics training pedagogy