Training materials
Scientific topics: Data integration and warehousing or Data quality management or Mathematics or Natural language processing or Software engineering
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Presentation
FAIRtracks and Omnipy – FAIRtracks interoperability story
•• intermediateData submission, annotation, and curation Data identity and mapping Data quality management Data governance Workflows Data handling -
Learning pathway
Version control with Git
•• intermediateSoftware engineering Open science Version control -
How to make your messy data usable? / OpenRefine
• beginnerData management Data quality management Data exploration data quality Data validation data cleaning -
hands-on tutorial
Gentle Introduction to Python
• beginnerPython script Software engineering Programming Python -
hands-on tutorial
R introduction
• beginnerR script Software engineering data visualisation programming -
hands-on tutorial
Introduction to Research Data Management
• beginnerData quality management Data submission, annotation, and curation Research Data Management Research Publishing -
hands-on tutorial
Introduction to Git and Github
• beginnerSoftware engineering Git Github Version control -
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 - Versioning of data and code using Git
• beginnerData management FAIR data Software engineering RStudio CONVERGE README -
Recorded webinar
Utilising GPUs in scientific algorithms