{"id":559,"date":"2017-11-24T12:54:05","date_gmt":"2017-11-24T11:54:05","guid":{"rendered":"https:\/\/www.go-fair.org\/?page_id=559"},"modified":"2018-01-08T12:34:22","modified_gmt":"2018-01-08T11:34:22","slug":"r1-metadata-richly-described-plurality-accurate-relevant-attributes","status":"publish","type":"page","link":"https:\/\/www.go-fair.org\/fair-principles\/r1-metadata-richly-described-plurality-accurate-relevant-attributes\/","title":{"rendered":"R1: (Meta)data are richly described with a plurality of accurate and relevant attributes"},"content":{"rendered":"

What does this mean?<\/strong>
\nIt will be much easier to find and reuse data if there are many labels are attached to the data. Principle R1 is related to F2, but R1 focuses on the ability of a user (machine or human) to decide if the data is actually USEFUL in a particular context. To make this decision, the data publisher should provide not just metadata that allows discovery, but also metadata that richly describes the context under which the data was generated. This may include the experimental protocols, the manufacturer and brand of the machine or sensor that created the data, the species used, the drug regime, etc. Moreover, R1 states that the data publisher should not attempt to predict the data consumer’s identity and needs. We chose the term ‘plurality’ to indicate that the metadata author should be as generous as possible in providing metadata, even including information that may seem irrelevant.<\/p>\n

Some points to take into consideration (non-exhaustive list):<\/b><\/p>\n