Training materials
Target audience: Biomedical researchers or Intermediate or Staff or computational scientists or data manager or policy officer
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Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
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
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 -
Slides
FAIR data - Module 2 (data life cycle)
• beginnerData management Biology Bioinformatics Data handling Data preserving Data storage -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
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 -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing