Training materials
Resource type: Training materials
and Keywords: Data Integration or Data Steward or Data visualization or Plant Phenotyping or Statistical-model or eLearning
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Training materials, slides / presentation, slide deck / presentation, Presentation
Life Science RDM 2023 Course
• beginnerData management FAIR data Biology Genomics Imaging Proteomics Bioinformatics Biodiversity Data Management Plan Data management planning Data Steward Data Stewardship Wizard Data Life Cycle Research Data Management Research Infrastructure -
Course materials, Training materials
"Ready for BioData Management?" Training Data Stewards for Life Sciences
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Video, Training materials, Mock data, E-learning
RDF Schema and Data Visualization
• beginnerData visualisation Medical informatics FAIR data Data management Computer science Ontology visualisation Visualisation Data retrieval Data handling Query and retrieval Clinical data SPARQL Data visualization RDF Knowledge graph GraphDB Mock data -
Training materials
BioData.pt | ELIXIR PT Training Data Stewards for Life Sciences - Intro Course
• beginnerFAIR data Open science Data management Data management plan data-science data-analysis Data Integration training open science data FAIRness FAIR FAIR principles life sciences data life cycle -
Training materials
Machine Learning & BioStatistics Hackathon 2020
• beginnerMachine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP -
Training materials
HPC Hackathon Materials
• beginnerComputer science HPC high-performance computing eLearning EeLP -
Training materials
Containers and Workflows training materials hackathon
• beginnerComputer science Containers Workflows eLearning EeLP -
Training materials
Plant Phenotyping Data managment (MIAPPE)
• beginnerPhenomics Plant biology Data management Annotation Formatting Plant Phenotyping Data-format data sharing -
course materials, Training materials, Slides
Galaxy Proteomics workshop Prague 2018
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course materials, Training materials, Slides
How to get the most out of your microarray experiment. A Webinar
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