Training materials
Target audience: Biologists or Biomedical researchers or PI or computational scientists or software engineers
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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 -
Online material, online course
Workshop on Resources for Plant Sciences, 2023
•• intermediatePlant biology service bundle eLearning EeLP plant science Data Visualization Gene Ontology Knowledge graph MIAPPE -
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 -
Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
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 -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
Slides
FAIR data - Module 4 (share and publish data)
• beginnerBioinformatics Biology Data management data sharing Data publishing legal framework data warehouse licensing data reuse -
Slides
FAIR data - Module 3 (Metadata)
• beginnerBioinformatics Biology Data management Data handling metadata data annotation life science standards data sharing