Training materials
Target audience: Any student, postdoc or RA who has an interest ... or Healthcare or PhD or Policy makers or Professor or modelers or teachers
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Slides
Life Sciences Research Data Management 2023 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
Video
Metabolic Control Analysis in COPASI
• beginnerSimulation experiment Systems biology Modelling and simulation Analysis Visualisation SystemsBiology ComputationalBiology Computational modelling Kinetic modeling COPASI -
Video
Steady State Analysis in COPASI
• beginnerSystems biology Computational biology Simulation experiment Modelling and simulation Visualisation -
Video
Time Course Simulation in COPASI
• beginnerSimulation experiment Modelling and simulation Visualisation SystemsBiology ComputationalBiology Computational modelling Kinetic modeling COPASI -
Video
Model Creation using COPASI
• beginnerSimulation experiment Modelling and simulation Visualisation SystemsBiology ComputationalBiology Computational modelling modeling Biomodelling Model Kinetic modeling COPASI -
FREE online course
The Power of Genomics to Understand the COVID-19 Pandemic
• beginnercoronavirus covid-19 sars-cov-2 mutations Variant calling Sequencing pandemic surveillance genomics public health Genomic data -
Using the Norwegian e-infrastructure for Life Science and usegalaxy.no
• beginnerNeLS Data storage data sharing Data analysis -
Course design: Considerations for trainers – a Professional Guide
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Presentation
Practicalities of data handling
• beginnerData security Data acquisition Data management Data handling data encryption data protection setup checksums Data transfer Data storage data organisation -
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