Training materials
Difficulty level: Intermediate
and Scientific topics: Data submission, annotation, and curation or Electron microscopy or Gene expression and microarray or Molecular interactions, pathways and networks or Public health and epidemiology or Software engineering
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Presentation
FAIRtracks and Omnipy – FAIRtracks interoperability story
•• intermediateData submission, annotation, and curation Data identity and mapping Data quality management Data governance Workflows Data handling -
Learning pathway
Version control with Git
•• intermediateSoftware engineering Open science Version control -
hands-on tutorial
Hands-on for 'Python - Coding Style' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Virtual Environments For Software Development' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Type annotations' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Conda Environments For Software Development' tutorial
•• intermediatedata-science conda jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Testing' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Subprocess' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'CLI Educational Game - Bashcrawl' tutorial
•• intermediatedata-science game bash jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Globbing' tutorial
•• intermediatedata-science jupyter-notebook