Training materials
Difficulty level: Beginner
and Contributors: Chris Evelo or ELIXIR-CONVERGE WP2 members or Emily Angiolini or Fotis E. Psomopoulos or Gautier Sarah or Roland Krause
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Video
ELIXIR-CONVERGE - The why of research data management
• beginnerData management FAIR data Data submission, annotation, and curation Data security Data integration and warehousing Data Life Cycle Data Steward Data Data access management Data management plan Data managment plan Data handling ELIXIR-CONVERGE -
hands-on tutorial
Hands-on for 'Introduction to Python' tutorial
• beginnerdata-science jupyter-notebook -
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 -
Presentation
Data publishing and archival
• beginnerData publishing data archiving Data preserving -
Presentation
Practicalities of data handling
• beginnerData security Data acquisition Data management Data handling data encryption data protection setup checksums Data transfer Data storage data organisation -
Presentation
Introduction to FAIR principles
• beginnerFAIR data -
A network biology workflow to study transcriptomics data of the diabetic liver
• beginnerBiological networks Network Visualization -
Train the trainer
• beginnerComputational biology Bioinformatics training pedagogy