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
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 see website of EUDAT for more information about the webinar and registration.