Training materials
Target audience: Any student, postdoc or RA who has an interest ... or Any students, postdocs or RAs who have an inter... or Biomedical researchers or Graduate Students or Undergraduate students or computational scientists
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lessons
Data Visualisation
• beginnerData visualisation Data Visualization -
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 -
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 -
Slides
FAIR data - Module 2 (data life cycle)
• beginnerData management Biology Bioinformatics Data handling Data preserving Data storage -
Video
Ten simple rules for making training materials FAIR
• beginnerFAIR data Data handling FAIR ELIXIR-CONVERGE -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
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 -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing