Training materials
Target audience: Anyone interested in file formats and interoper... or Data Scientists or Life Science Researchers or Life sciences or geneticists
and Resource type: Slides or course materials or e-learning or slide deck / presentation
-
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 -
e-learning, Documentation
FAIRplus fellowship programme
•• intermediateFAIR data FAIRness Data management FAIRplus life-sciences -
Video, Training materials with mock data, e-learning
Querying Data with SPARQL
• beginnerComputer science Data management FAIR data Medical informatics Data mining Query and retrieval Database search Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph SNOMED CT LOINC Interoperability -
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 -
e-learning
Introduction to Protein Structure Analysis
-
course materials, e-learning
Eurordis Open Academy
• beginnerRare diseases Rare Diseases & Research Rare Diseases -
Webinar, e-learning
Education and Training webinars on genetic tumor risk syndromes (ERN GENTURIS)
••• advancedRare diseases Rare Diseases & Research -
Slides
Helis Academy - FAIRify your data
-
e-learning
Online course 'Learn to write your Data Management Plan'
• beginnerData management plan data management -
course materials
Ready For BioData Management?
• beginnerData management Data managment plan
- 1
- 2