Training materials
Target audience: Health Care Professionals or Training Designers or biology and bioinformatics sophomore undergradu... or data manager or postdoc or software developers, bioinformaticians
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PDF
Train-the-Trainer | Integration of the sex and gender dimension in life sciences research - slides
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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 -
Documentation, Presentation
ELIXIR AAI Engagement Meetings Materials
•• intermediateComputer science AAI IAM Authentication authorisation -
Course design: Considerations for trainers – a Professional Guide
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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 -
PDF, slideck/ presentation
Elaboración de un Plan de Gestión de Datos (DMP): teoria y práctica
• beginnerData management FAIR data ELIXIR-CONVERGE DMP DMP tools DMP templates DMP evaluation Data managment plan research data management FAIR principles tools template competency evaluation online e-learning Spanish -
Training materials, Video
GA4GH Passports and ELIXIR AAI
•• intermediateAAI GA4GH Passports Auhtorisation -
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