Training materials
Include archived: true
and Keywords: FAIR or data sharing
and Target audience: Industry or Professors or Scientists or software developers, bioinformaticians or software engineers
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lessons, e-learning
Introduction to Data Management Practices - Cleaning tabular data with OpenRefine
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Data publication
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Metadata
• beginnerData management FAIR data data organisation FAIR CONVERGE ontologies metadata Controlled vocabularies -
lessons, e-learning
Introduction to Data Management Practices - Data organisation practices
• beginnerData management FAIR data data organisation FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Open Science and FAIR
• beginnerData management Open science FAIR data FAIR CONVERGE -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
Training materials
Plant Phenotyping Data managment (MIAPPE)
• beginnerPhenomics Plant biology Data management Annotation Formatting Plant Phenotyping Data-format data sharing -
Training materials
Essential Steps of the FAIRification Process
•• intermediateFAIR data stewardship metadata linked data -
Slides, Training materials
FAIR Data Stewardship - Data sharing, archiving and publishing
• beginnerData Life Cycle FAIR data management data stewardship data repositories data sharing data publication -
Documentation
InterMine operator manual
•• intermediateData integration Data analysis Data publishing FAIR