Training materials
Target audience: Chemists or PI or Researcher or computational scientists or web developers
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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 -
lessons
Data Visualisation
• beginnerData visualisation Data Visualization -
lessons
AKKI andmehalduse seminar
• beginnerData management Data management plan -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
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 -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
Tutorial
SPARQLing Biology: a beginners course
• beginnerBiology Query and retrieval Sparql queries Sparql syntax -
examples, Tutorial, Jupyter notebook, API reference
DE-Sim examples, tutorials, and documentation
••• advancedSimulation experiment Computer science Mathematics Computational biology Modelling and simulation Visualisation data-driven modeling Computational modelling discrete-event simulation DES object-oriented programming Python data visualization Data Science
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