Training materials
Target audience: Biologists, Genomicists, Computer Scientists or Biomedical researchers or computational scientists or geneticists or healthcare professionals or plant researchers
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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 -
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 -
e-learning
EJP RD MOOC "Diagnosing Rare Diseases: from the Clinic to Research and back"
•• intermediateRare diseases Rare Diseases & Research -
Video, Slides
Plant Phenotyping Data managment Webinar (MIAPPE)
• beginnerPlant biology Phenomics Data quality management Data submission, annotation, and curation Standardisation and normalisation -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing