Comments (4)
The EU Summit's [FAIR Certification] Intent Raises concerns with me.
Stewardship should be within the domain using accepted community standards.
A librarian viewpoint of FAIR data is quite different to a Biologist reusing a dataset. A colleague who runs a major data archive widely used was accused of not have good metadata to put into OpenAIRE. In fact their dataset was highly curated and excellent and compared to the majority of data in OpenAIRE was exemplary. But one field considered important for EU accounting was missing. Which was the most FAIR?
it reminds me of Dickens Hard Times: " An exchange between Gradgrind, Bitzer and Sissy Jupe over the proper definition of a horse. Bitzer, who has learned a definition by rote, classifies it as a "Quadruped" and "Gramnivorous," whereas Sissy, the horse-breaker's daughter is reprimanded for possessing "no facts, in reference to one of the commonest of animals" (https://omf.ucsc.edu/london-1865/schools-and-education/victorian-education.html)" though clearly Sissy knows infinitely more about horses than Gradgrind who merely knows the label.
from consultation.
Perfect, thanks @jkb4TU
from consultation.
Is this the text you're referring to @CaroleGoble
[Accreditation/certification] Scientists must be assured that the European and national scientific research infrastructures where they deposit/ access data conform to clear rules and criteria (e.g. certified) and that their data is FAIR compliant. An accreditation or certification mechanism must be set in place based on agreed processes and an accreditation or certification body must maintain an up-to-date and accessible catalogue of certified repositories. Experience from existing accreditation processes must be taken into account.
from consultation.
I've just been reviewing the FAIR metrics site and from the diagram it looks like they're considering metrics on a domain basis. I agree that this is key because what constitutes good metadata comes down to the specific of each community.
I know there's a lot of desire for recommending certified repositories, but I think we need to exercise some caution here and be pragmatic about the shift that's required. Very few repositories have certifications currently and it's not a non-trivial task to obtain them. There are some excellent repositories that aren't certified too. The 4TU study pointed out a few simple steps that can make repository much more FAIR and I think that's the kind of low benchmark we want to start with if we're requiring it of all providers. Where I do agree with this statement is that we need to build on existing accreditation processes, not start something completely new.
from consultation.
Related Issues (20)
- Is the assiduous collection of metadata and its aggregation via a DOI agency an essential operation for FAIR Data? HOT 1
- Should subject-specific enhancement of metadata be used by communities as a mechanism for achieving FAIRness in data? HOT 4
- How can/should one introduce Context into FAIR data? HOT 8
- Introducing Context into FAIR data: some use-cases.
- Software and Data - the interplay for FAIR access to Data, and FAIR Software HOT 5
- Data enabled as FAIR using a one-time software license
- Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data
- Should instrumental FAIR data reference the instrument using a PID? HOT 11
- A proposal for assessing the FAIRness of data in Trusted Digital Repositories HOT 5
- How FAIR is FAIR? HOT 2
- FAIR metric form HOT 3
- CRIS and FAIR data infrastructure: a contribution by euroCRIS (Making FAIR work) HOT 1
- FAIR data decisions: Lossy or lossless HOT 4
- Amsterdam contribution to the FAIR Expert Group
- FAIR initiatives in the rare disease community
- FAIR Data needs FAIR tooling that is lightweight and ubiquitous HOT 2
- FAIR Maturity Model HOT 1
- FAIR EOSC: FAIR e-Infrastructure Service vs FAIR Research Infrastructure Services HOT 2
- Preprint of FAIR Metrics Commentary article to accompany a set of 14 proposed metrics
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from consultation.