> , dcat:Distribution
> , dcat:Distribution
"Erik Schultes" , "Luiz Bonino" , "Mark Wilkinson" , "Michel Dumontier" , "Peter Doorn" , "Susanna Sansone" ;
"Use FAIR Vocabularies" ;
"FAIR Metric for Fair Principle I2" ;
"FAIR Metrics Working Group" ;
"""michel: there must be a syntax and associated semantics for that language. This is sufficient
mark: there needs to be some identity or denotation in the language; ('vanilla') xml and json are not FAIR, so should fail this test
*** can you (i) identify elements and (ii) make statements about them, and iii) is there a formally defined interpretation for that -> HTML fails; PDF fails
-> that there are many users of the language
. acknowledged within your community
-> hard to prove.
. could we use google to query for your filetype (can't discriminate between different models)
-> has a media type
--> This SHOULD be stated as a IANA code [IANA-MT]
standardization of at least this listing process is a good measure of 'sharedness'
. that the language is extensible to a domain of interest
. you can define your own elements in accordance with the semantics of the language
gff3 is not in the IANA list -> what steps would the community need to execute to be listed here? cases like GFF, PDB are not broadly applicable
biopax -> is defined vnd.biopax.rdf+xml and built on rdf -> allows users to create new elements and relate them
jpg -> widely used, registered, but primarily for image content
pdf -> registered, enables users to create their own dictionary.
"The metadata values and qualified relations should themselves be FAIR, for example, terms from open, community-accepted vocabularies published in an appropriate knowledge-exchange format." ;
"Resolve IRIs, check FAIRness of the returned document(s)." ;
"It is not possible to unambiguously interpret metadata represented as simple keywords or other non-qualified symbols. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR." ;
"IRIs representing the vocabularies used for (meta)data " ;
"Successful resolution; document is amenable to machine-parsing and identification of terms within it. It may be possible to use FAIRSharing to validate these vocabularies." .