Training materials
Difficulty level: Beginner
and Target audience: PI or Professor or Training Designers or Undergraduate students or beginner bioinformaticians or database managers
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How to make your messy data usable? / OpenRefine
• beginnerData management Data quality management Data exploration data quality Data validation data cleaning -
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 -
Training materials
Machine Learning & BioStatistics Hackathon 2020
• beginnerMachine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP -
Training materials
HPC Hackathon Materials
• beginnerComputer science HPC high-performance computing eLearning EeLP -
Training materials
Containers and Workflows training materials hackathon
• beginnerComputer science Containers Workflows eLearning EeLP -
Training materials
Using bioinformatics to hunt SARS-CoV-2, its variants & its origins – a practical guide
• beginnerBioinformatics for schools, basic bioinformatics, SARS-CoV-2 pandemic, genome analysis, protein sequence analysis, protein structure analysis, virus variants, spike protein, training material -
Video
Ten simple rules for making training materials FAIR
• beginnerFAIR data Data handling FAIR ELIXIR-CONVERGE -
Series of videos, Video, youtube video
Introduction to research data management, data management planning and services provided by CSC – IT Center for Science
• beginnerDMP RDM plan research data management data management data management plan ELIXIR-CONVERGE CONVERGE -
Slides
Data Management Planning workshop for new Life Science Projects
• beginnerData management Deposition Data handling Data retrieval data management plan NeLS TSD metadata sensitive data publication data protection storage identifiers DMP licensing Compliance data life cycle - collect data life cycle - reuse data life cycle - analyse data life cycle - process data life cycle - preserve data life cycle - share data life cycle - plan
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