Training materials
Licence: CC0 1.0 or Creative Commons Attribution 4.0 International or License Not Specified
and Target audience: Biologists or PhD candidates or PostDocs or Researcher
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Presentation
Workshop FAIR & Data stewardship for the ITN NUTRIOME project (2024)
• beginnerNutritional science Data management FAIR data Data handling Analysis data stewardship data life cycle Training FAIR Nutrition -
Slides
Life Sciences Research Data Management 2023 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
lessons
Visualisation with RStudio
• beginnerData visualisation Data Visualization R RStudio ggplot2 -
lessons
Data Visualisation
• beginnerData visualisation Data Visualization -
Training materials, slides / presentation, slide deck / presentation, Presentation
Life Science RDM 2023 Course
• beginnerData management FAIR data Biology Genomics Imaging Proteomics Bioinformatics Biodiversity Data Management Plan Data management planning Data Steward Data Stewardship Wizard Data Life Cycle Research Data Management Research Infrastructure -
course materials, Online material, Training materials
Cloud-SPAN Genomics
• beginnerBioinformatics Software engineering Genomics DNA polymorphism Workflows Data architecture, analysis and design Shell Command line Cloud computing HPC Data analysis High performance computing -
course materials, online course, Training materials
Cloud-SPAN Prenomics
• beginnerBioinformatics Software engineering Genomics Query and retrieval Data handling Cloud computing Shell Command line Amazon Web Services genomics HPC Data analysis bioinformatics -
Slidedeck
Helis Academy course FAIR data stewardship 2021, Day 5, Data rights
• beginnerFAIR data Data management Data handling FAIR data management Data rights -
Presentation
Data publishing and archival
• beginnerData publishing data archiving Data preserving -
Presentation
Reproducible analysis
• beginnerData architecture, analysis and design Workflows Literate programming Reproducible Science Data analysis