Training materials
Scientific topics: Data management or Genomics or Genotype and phenotype
and Keywords: Data preserving or README or metadata
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lessons, e-learning
Introduction to Data Management Practices - Versioning of data and code using Git
• beginnerData management FAIR data Software engineering RStudio CONVERGE README -
lessons, e-learning
Introduction to Data Management Practices - Introduction to RStudio
• beginnerData management FAIR data RStudio CONVERGE README -
lessons, e-learning
Introduction to Data Management Practices - Metadata
• beginnerData management FAIR data data organisation FAIR CONVERGE ontologies metadata Controlled vocabularies -
Slidedeck
Helis Academy course FAIR data stewardship 2021, Day 5, Archiving data
• beginnerFAIR data Data management Data handling Data preserving Data sharing -
Slidedeck
Workshop FAIR & Data stewardship for the 2021 ITN ProEVLifeCycle
• beginnerData management FAIR data Data handling Analysis Data analysis Data management planning Data processing Data sharing Data collection Data preserving Data reuse -
Slidedeck
Workshop FAIR & Data stewardship for the 2020 ITN ProEVLifeCycle
• beginnerData management FAIR data Data handling Analysis Data analysis Data management planning Data processing Data sharing Data collection Data preserving Data reuse -
Slidedeck
Workshop FAIR & Data stewardship for the 2020 ITN COSMIC
• beginnerFAIR data Data management Analysis Data handling Data analysis Data collection Data management planning Data preserving Data processing Data reuse Data sharing -
Slides
FAIR data - Module 3 (Metadata)
• beginnerBioinformatics Biology Data management Data handling metadata data annotation life science standards data sharing -
Slides
Data Management Planning workshop for new Life Science Projects
• beginnerData management Deposition Data handling Data retrieval data management plan NeLS TSD metadata sensitive data publication data protection storage identifiers DMP licensing Compliance data life cycle - collect data life cycle - reuse data life cycle - analyse data life cycle - process data life cycle - preserve data life cycle - share data life cycle - plan -
Presentation
FAIRify your data: data documentation and metadata
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