Training materials
Scientific topics: Data architecture, analysis and design or Data management or Data submission, annotation, and curation or Drug discovery or Phylogeny
and Keywords: Data managment plan or metadata
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Video
ELIXIR-CONVERGE - The why of research data management
• beginnerData management FAIR data Data submission, annotation, and curation Data security Data integration and warehousing Data Life Cycle Data Steward Data Data access management Data management plan Data managment plan Data handling ELIXIR-CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Metadata
• beginnerData management FAIR data data organisation FAIR CONVERGE ontologies metadata Controlled vocabularies -
Video, Slides, Webinar
A Gentle Introduction to DSW for Convergers
• beginnerData management Data governance Data managment plan data stewardship data management software tools -
Slides
FAIR data - Module 3 (Metadata)
• beginnerBioinformatics Biology Data management Data handling metadata data annotation life science standards data sharing -
PDF, slideck/ presentation
Elaboración de un Plan de Gestión de Datos (DMP): teoria y práctica
• beginnerData management FAIR data ELIXIR-CONVERGE DMP DMP tools DMP templates DMP evaluation Data managment plan research data management FAIR principles tools template competency evaluation online e-learning Spanish -
online modules
Research Data Management and Sharing MOOC
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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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course materials
Ready For BioData Management?
• beginnerData management Data managment plan -
Video
Tools for data management planning
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