{"id":99,"title":"That there is provenance information associated with the data, covering at least two primary types of provenance information","url":"https://purl.org/fair-metrics/FM_R1.2","description":"- Who/what/When produced the data (i.e. for citation) \r\n- Why/How was the data produced (i.e. to understand context and relevance of the data)\r\n\r\nReusability is not only a technical issue; data can be discovered, retrieved, and even be machine-readable, but still not be reusable in any rational way. Reusability goes beyond “can I reuse this data?” to other important questions such as “may I reuse this data?”, “should I reuse this data”, and “who should I credit if I decide to use it?”\r\n\r\nSeveral IRIs - at least one of these points to one of the vocabularies used to describe citational provenance (e.g. dublin core). At least one points to one of the vocabularies (likely domain-specific) that is used to describe contextual provenance (e.g. EDAM)\r\n\r\n\t\r\nIRI 1 should resolve to a recognized citation provenance standard such as Dublin Core.\r\nIRI 2 should resolve to some vocabulary that itself passes basic tests of FAIRness","image":"","tags":"","type":"url","license":"","rationale":"","principle":"","fairmetrics":"R1.2","authors":[1]}