Wilkinson et al. claimed in previous work that Adherence of a dataset to the FAIR Guiding Principles enables its automated discovery. We present here a formalization of that claim, stating that all things of class “adherence to the FAIR Guiding principles” that are in the context of a thing of class “data set” can generally have a relation of type “enables” to a thing of class “automated discovery” in the same context.
Wilkinson et al. state that “the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data” [2]. We present here a formalization of the main scientific claim from this quote by using a semantic template called the super-pattern [1].
In the context class we use the “data set” (Q1172284) class from Wikidata. In subject class, we use a new minted class “adherence to the FAIR guiding principles” that is a subclass of “adherence” (Q85315455) and is related to the class “FAIR data principles” (Q29032644) from Wikidata. In the object class we minted a new class “automated discovery” that is a subclass of “discovery” (Q12772819) and is related to the class “automation” (Q184199) from Wikidata.
RDF code
This is our formalization as a nanopublication in TriG format:
@prefix this: <http://purl.org/np/RA22JAQihYeiJkNIjvwnxLPmjuG74yPcRXpPyVX8DV6fA> .@prefix sub: <http://purl.org/np/RA22JAQihYeiJkNIjvwnxLPmjuG74yPcRXpPyVX8DV6fA#> .@prefix np: <http://www.nanopub.org/nschema#> .@prefix dct: <http://purl.org/dc/terms/> .@prefix nt: <https://w3id.org/np/o/ntemplate/> .@prefix npx: <http://purl.org/nanopub/x/> .@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .@prefix orcid: <https://orcid.org/> .@prefix prov: <http://www.w3.org/ns/prov#> .@prefix sp: <https://w3id.org/linkflows/superpattern/terms/> .sub:Head { this: np:hasAssertion sub:assertion ; np:hasProvenance sub:provenance ; np:hasPublicationInfo sub:pubinfo ; a np:Nanopublication .}sub:assertion { sub:spi a <https://w3id.org/linkflows/superpattern/terms/SuperPatternInstance> ; rdfs:label "Adherence of a dataset to the FAIR Guiding Principles enables its automated discovery." ; sp:hasContextClass <http://www.wikidata.org/entity/Q1172284> ; sp:hasSubjectClass <http://purl.org/np/RAodU4AmRjfzyjwtJK3luO0iyRJJPUBjkijKWdlMHvack#adherenceToTheFAIRGuidingPrinciples> ; sp:hasQualifier sp:canGenerallyQualifier ; sp:hasRelation sp:enables ; sp:hasObjectClass <http://purl.org/np/RAFQovt9yQD7nZ2tdZ9_Uhpb7CsfT3k64pK7dh63xd-50#automatedDiscovery> .}sub:provenance { sub:activity a sp:FormalizationActivity ; prov:used sub:quote , <https://doi.org/10.1038/sdata.2016.18> ; prov:wasAssociatedWith orcid:0000-0003-4727-9435 . sub:assertion prov:wasGeneratedBy sub:activity . sub:quote prov:value "the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find anduse the data" ; prov:wasQuotedFrom <https://doi.org/10.1038/sdata.2016.18> .}sub:pubinfo { sub:sig npx:hasAlgorithm "RSA" ; npx:hasPublicKey"MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCTQs+mANCSHWhIW/YPio468UdGNHsPvADpjfaW8um/v2L4AoDIANginfoU65VNbPT5D0ADt1y0uFNne3VEMr9Y+I2HFaz6IKj+LdYMJk6VUf5WJoImRHIX6BZQwcUc22CbTBFYxvqvp3UmmHrCrhLIZjDSyutExK3tOTRoMDjGowIDAQAB" ; npx:hasSignature"hHeN9qAHbRXgslk6ztdFWPThPTPYrIjclGL+nH6YX7A88Qqj70dJFXZYBFGcv7OpOiEmEVsAlNs2Xn7oefCmpsfBTIivwVPLf8SWzXrpnDU2p9naIr6YMlyrNJ3wLg61pXWaOH82njsVr1GMtL7y0VGw8cCmhdvzASigRCfLAQs=" ; npx:hasSignatureTarget this: . this: dct:created "2021-11-08T09:09:11.999+01:00"^^xsd:dateTime ; dct:creator orcid:0000-0003-4727-9435 ; npx:introduces sub:spi ; <https://w3id.org/linkflows/reviews/isUpdateOf> <http://purl.org/np/RAPLWOEA5t6_Kx6vVHtibWm92pg1XTN6FIZdWuaTyoy9g> ; nt:wasCreatedFromProvenanceTemplate <http://purl.org/np/RAE1wniOy0yO39PlK9QkQ-wqbC3q-R2nXraP5huu8W39k> ; nt:wasCreatedFromPubinfoTemplate <http://purl.org/np/RAA2MfqdBCzmz9yVWjKLXNbyfBNcwsMmOqcNUxkk1maIM> ,<http://purl.org/np/RAOGu9Lh0BD4tbIRB9RG6RGRA_ObDh75NTbIqaWgxxs8M> ; nt:wasCreatedFromTemplate <http://purl.org/np/RAv68imZrEjfcp2rnEg1hzoBqEVc0cQMtp9_1Za0BxNM4> .}
The following nanopublications introduce the newly minted classes in TriG format.
This is the class definition of “adherence to the FAIR guiding principles”:
C.I.Bucur, T.Kuhn, D.Ceolin and J.van Ossenbruggen, Expressing high-level scientific claims with formal semantics, in: Proceedings of the 11th Knowledge Capture Conference, 2021. doi:10.1145/3460210.3493561.
2.
M.Wilkinson, M.Dumontier, I.Aalbersberget al., The FAIR Guiding Principles for scientific data management and stewardship, Sci Data3 (2016), 160018. doi:10.1038/sdata.2016.18.
