Training materials
Target audience: Data scientists or Research Scientists or bioinformaticians or data steward / data manager or geneticists or researchers
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Training materials
ELITMa Module "Data Management Strategy" (Finland 28-29 June 2023)
• beginnerResearch Data Management RDM Strategy Training -
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 -
Online material, hands-on tutorial
Introduction to Docker and Singularity
• beginnerReproducibility Container Singularity -
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 -
slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
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