Webinar – FAIR Data in Trustworthy Data Repositories
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.
The FAIR principles are remarkably similar to the underlying principles of DSA (2005): the data can be found on the Internet, are accessible (clear rights and licenses), in a usable format, reliable and are identified in a unique and persistent way so that they can be referred to. Essentially, the DSA presents quality criteria for digital repositories, whereas the FAIR principles target individual datasets.
In this webinar the two sets of principles will be discussed and compared and a tangible operationalization will be presented.
Who should attend this webinar?
Data experts, data repository managers, policy makers, research administrators, project coordinators and researchers will all benefit from participating.
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
The webinars are planned for:
Monday 12 December 15.00 hours CET
Tuesday 13 December 10.00 hours CET
Please seefor more information about the webinar and registration.