Everybody wants to play FAIR, but how do we put the principles into practice?
 
There is a growing demand for quality criteria for research datasets. In this webinar we will argue that the DSA (Data Seal of Approval for data repositories) and FAIR principles get as close as possible to giving quality criteria for research data. They do not do this by trying to make value judgements about the content of datasets, but rather by qualifying the fitness for data reuse in an impartial and measurable way. By bringing the ideas of the DSA and FAIR together, we will be able to offer an operationalization that can be implemented in any certified Trustworthy Digital Repository.
 
What can you expect to learn?
  • General understanding of the FAIR principles
  • General understanding of core requirements for trustworthy digital repositories
  • Introduction to a possible way of operationalizing the FAIR principles
 
DANS/EUDAT/OpenAIRE Webinar "FAIR Data in Trustworthy Repositories", December 12
 
Webinar recording: click here
 
Webinar presentation: click here
 
Webinar chat log: click here
 
 
DANS/EUDAT/OpenAIRE Webinar "FAIR Data in Trustworthy Repositories", December 13
 
Webinar recording: click here
 
Webinar presentation: click here
 
Webinar chat log: click here