Training materials
Include archived: true
and Target audience: Biologists, Genomicists, Computer Scientists or Life Scientists or Patient Advocates or life scientists or postdoc or project manager
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Presentation
Create and a Handle Data Management Plan
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Slides
Life Sciences Research Data Management 2023 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
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 -
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, 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 -
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 -
e-learning
EJP RD MOOC "Diagnosing Rare Diseases: from the Clinic to Research and back"
•• intermediateRare diseases Rare Diseases & Research -
Video, Slides
Plant Phenotyping Data managment Webinar (MIAPPE)
• beginnerPlant biology Phenomics Data quality management Data submission, annotation, and curation Standardisation and normalisation -
Presentation
Reproducible data analysis with RStudio, github and Rmarkdown
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Presentation
Data security and encryption