Learning Outcomes
Topics
Learning Outcomes
List the FAIR principles and examine their application
Use of different data formats
Describe metadata concepts and apply standardisation methods
Explain data provenance and relate it to data produced in the own research
Describe storage architectures (including their environmental footprint) and debate the impact on scientific workflows
Recall data protection principles and apply these to selected use cases
Provide an overview of distributed data infrastructures
TopicsÂ
Introduction to data management
FAIR principles
Data formats
Principles of metadata
Technologies relevant to metadata
Data provenance
Introduction to I/O and storage
Storage architectures and technologies
Storage and I/O user tools
I/O performance optimisation
Data governance
Data security
GDPR compliance
Data management frameworks
Distributed data infrastructures