@prefix cc: . @prefix void: . @prefix ssd: . @prefix owl: . @prefix xsd: . @prefix skos: . @prefix rdfs: . @prefix version: . @prefix qb: . @prefix dgu: . @prefix dct: . @prefix ui: . @prefix rdf: . @prefix reg: . @prefix ldp: . @prefix time: . @prefix api: . @prefix vann: . @prefix vs: . @prefix prov: . @prefix foaf: . @prefix dc: . a reg:RegisterItem ; rdfs:label "3. Analysis ready"@en ; dct:dateAccepted "2022-06-14T08:02:47.807Z"^^xsd:dateTime ; dct:dateSubmitted "2022-06-01T08:23:06.037Z"^^xsd:dateTime ; dct:description "Analysis-ready data is unvalidated: available to others outside of the group that produces the data. It is well described and discoverable. It has no guarantee of validity to particular usage contexts and is only appropriate for use by experts who can validate the content themselves. Indeed, the act of analysis can be part of the process of validation. It conforms to some standard of meta-data description and structure, such that consumers can use shared standard tooling to explore and use the content.\nMetadata on the source and provenance of the data becomes important, as the ways of working require direct interaction between producer to consumer as the data may not be fully documented and the subtleties of the context in which the data is valid may not be clear.\nThere is no guarantee that the content is correct from an environmental science perspective.\nThe inherent risks in use of this data are that they are unvalidated, may be misleading, and may not be valid in the context of use. Mitigation is that it is qualified and shared with experts on a limited basis. "@en ; reg:definition [ reg:entity ; reg:sourceGraph ] ; reg:itemClass , skos:Concept ; reg:notation "Analysis-ready" ; reg:register ; reg:status reg:statusExperimental ; reg:submitter [ foaf:accountName "https://api.github.com/users/mo-marqh" ; foaf:name "mo-marqh" ] ; owl:versionInfo 2 . a skos:Concept , ; rdfs:label "3. Analysis ready"@en ; dct:description "Analysis-ready data is unvalidated: available to others outside of the group that produces the data. It is well described and discoverable. It has no guarantee of validity to particular usage contexts and is only appropriate for use by experts who can validate the content themselves. Indeed, the act of analysis can be part of the process of validation. It conforms to some standard of meta-data description and structure, such that consumers can use shared standard tooling to explore and use the content.\nMetadata on the source and provenance of the data becomes important, as the ways of working require direct interaction between producer to consumer as the data may not be fully documented and the subtleties of the context in which the data is valid may not be clear.\nThere is no guarantee that the content is correct from an environmental science perspective.\nThe inherent risks in use of this data are that they are unvalidated, may be misleading, and may not be valid in the context of use. Mitigation is that it is qualified and shared with experts on a limited basis. "@en ; dct:notation "Analysis-ready" .