Training materials
Scientific topics: Data management or Image or Metagenomics or Natural language processing
-
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 - Scripted analysis with R
• beginnerData management FAIR data Bioinformatics Data visualisation RStudio CONVERGE ggPlot -
PDF, slide deck / presentation
Elaboración de un Plan de Gestión de Datos (DMP): teoria y práctica
•• intermediateFAIR data Data management ELIXIR-CONVERGE DMP data management plan research data management FAIR principles DMP tools DMP templates tools template competency DMP evaluation evaluation on-line Spanish e-learning -
PDF, slides / presentation
Research Data Management Introduction for researchers
• beginnerFAIR data Data management ELIXIR-CONVERGE DMP data management plan research data management FAIR principles DMP tools DMP templates tools template competency DMP evaluation evaluation on-line e-learning -
PDF, slideck/ presentation
Data Management Plans and Policies
• beginnerFAIR data Data management ELIXIR-CONVERGE DMP data management plan research data management FAIR principles DMP tools DMP templates tools template competency on-line e-learning -
Slides
FAIR data - Module 4 (share and publish data)
• beginnerBioinformatics Biology Data management data sharing Data publishing legal framework data warehouse licensing data reuse -
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