Training materials
Scientific topics: Mass spectrometry or Data submission, annotation, and curation or Open science
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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 -
Slides
Life Sciences Research Data Management 2023 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
hands-on tutorial
Introduction to Research Data Management
• beginnerData quality management Data submission, annotation, and curation Research Data Management Research Publishing -
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 - Data Management Plans
• beginnerData management FAIR data Open science CONVERGE Data Stewardship Wizard Data management plan -
lessons, e-learning
Introduction to Data Management Practices - Cleaning tabular data with OpenRefine
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Data publication
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Open Science and FAIR
• beginnerData management Open science FAIR data FAIR CONVERGE -
Training materials
BioData.pt | ELIXIR PT Training Data Stewards for Life Sciences - Intro Course
• beginnerFAIR data Open science Data management Data management plan data-science data-analysis Data Integration training open science data FAIRness FAIR FAIR principles life sciences data life cycle
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