Training materials
Scientific topics: Bioinformatics or Open science
and Keywords: Command line or Computer science or Data Life Cycle or FAIR or High performance computing
-
Ready for BioData Management? Intensive Course
-
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
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 -
lessons, e-learning
Introduction to Data Management Practices - Cleaning tabular data with OpenRefine
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Data publication
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Open Science and FAIR
• beginnerData management Open science FAIR data FAIR CONVERGE -
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 -
Training materials
BioData.pt | ELIXIR PT Training Data Stewards for Life Sciences - Intro Course
• beginnerFAIR data Open science Data management Data management plan data-science data-analysis Data Integration training open science data FAIRness FAIR FAIR principles life sciences data life cycle