Keywords: data management, data stewardship, dmp, fair

Learning objectives:

• Contextualise the main principles of FAIR around the common characteristics of identifiers, access, metadata and registration.
• Define the term ‘metadata’.
• Describe why indexed data repositories are important.
• Explain the definition and importance of using identifiers.
• Explain the difference between FAIR and open data.
• Give examples of the structure of persistent identifiers.
• Identify the FAIR principles and their origin.
• Illustrate what are the persistent identifiers.
• Learn best practices in data management
• Learn how to introduce computational reproducibility in your research
• Learn how to make clinical datasets FAIR
• Learn the FAIR principles
• Recall examples of community/domain standards that apply to data and metadata.
• Recognise the relationship between FAIR and Open data
• Recognise why FAIR datasets are important
• Summarise resources enabling you to choose a searchable repository.
• To illustrate data access in terms of the FAIR Principles using companion terms including communications protocol and authentication.
• To interpret the data usage licence associated with different data sets.

Event types:

• Workshops and courses