Training materials
Target audience: rare disease patients representatives or Anyone wishing to interpret graphs showing the ... or Biomedical researchers or Laboratory technicians or Students, postdocs, and researchers, from any s... or science students
and Resource type: Slides or e-learning
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e-learning
ViralZone: Studying viral diversity
• beginnerVirology Genomics Molecular biology virology -
e-learning
Make sense of COVID-19 data
• beginnerVirology Data visualisation SARS-CoV-2 -
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 -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
e-learning
EJP RD MOOC "Diagnosing Rare Diseases: from the Clinic to Research and back"
•• intermediateRare diseases Rare Diseases & Research -
course materials, e-learning
Eurordis Open Academy
• beginnerRare diseases Rare Diseases & Research Rare Diseases -
Webinar, e-learning
Educational webinars on rare endocrine conditions (ENDO-ERN)
••• advancedRare diseases Rare Diseases & Research -
Webinar, e-learning
Educational webinars on rare and complex epilepsies (EpiCARE ERN)
••• advancedRare diseases Rare Diseases & Research
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