Training materials
Target audience: All postgraduates or Any student, postdoc or RA who has an interest ... or Biologists, Genomicists, Computer Scientists or Biomedical Researchers or Biomedical researchers or PI or researchers
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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 -
Video, E-Learning
SPHN Dataset Template: Build an RDF schema from an Excel file
•• intermediateComputer science Data management FAIR data Medical informatics Semantic artifacts generation Automation Clinical data Semantic Framework FAIR RDF RDF graph generation Dataset template -
Tutorial, Video, Series of videos
Federated EGA: Introductory videos
• beginnerFederated EGA FEGA metadata ELIXIR-CONVERGE Phenotype SARS-CoV-2 -
Video, E-learning
FAIRification of external terminologies
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Clinical data Semantic Framework FAIR Terminology Ontology Versioning of Terminology -
youtube video, video
Data Management Planning tips
• beginnerData management FAIR data ELIXIR-CONVERGE DMP data management plan research data management FAIR principles DMP tools DMP templates tool template DMP evaluation RDMkit Data Stewardship Wizard DSW Spanish español -
Course materials
Research Data Management -course
• beginnerRDM research data management data management CONVERGE -
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 -
Video, E-learning
FAIR principles in practice for health data
• beginnerComputer science Data management FAIR data Medical informatics Standardisation and normalisation Design Clinical data RDF Knowledge graph Semantic framework FAIR Findability Accessibility Interoperability Reusability