Training materials
Target audience: Intermediate or computational scientists or Biomedical researchers or Anyone interested in data standardization and/o...
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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 -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
Video
Applying data standards to the harmonization of COVID-19 datasets from different sources
• beginnerData integration and warehousing Data integration Standards Standardised vocabulary data harmonization Ontologies -
Video
Useful ontologies for harmonizing cohort data
• beginnerData integration and warehousing Data management Ontology and terminology Ontologies Cohort data data annotation -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
course materials, e-learning
Eurordis Open Academy
• beginnerRare diseases Rare Diseases & Research Rare Diseases