Training materials
Difficulty level: Beginner
and Target audience: Any student, postdoc or RA who has an interest ... or Anyone interested in data standardization and/o... or Biomedical researchers or Biophysicists or PhD or Veterinarians
-
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 -
Using the Norwegian e-infrastructure for Life Science and usegalaxy.no
• beginnerNeLS Data storage data sharing Data analysis -
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 -
Presentation
Practicalities of data handling
• beginnerData security Data acquisition Data management Data handling data encryption data protection setup checksums Data transfer Data storage data organisation -
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 -
course materials, e-learning
Eurordis Open Academy
• beginnerRare diseases Rare Diseases & Research Rare Diseases
- 1
- 2