FAIR Assessment Outcomes for a Sample of Data Citation Index Records Using FAIR-Checker

This MS Excel spreadsheet contains the raw data output for a study examining citations for and the FAIRness of a sample of data objects over time for seven STEM disciplines as assessed by FAIR-Checker. Data objects were sampled from Clarivate's Data Citation Index. Data fields consist of: Column Name Data Type Data Range Definition Source Required DOI String N/A A persistent unique URL leveraged to identify a specific object. DOIs (digital object identifiers) follow a standard template, https://doi.org/ + {Prefix/Suffix}, in which the prefix must start with 10. DCI Yes UR String N/A A unique web adress leveraged to identify a specific object. DCI Yes Document Type String Data Set, Data Study, Software The target object type. Data Repositories were excluded from this study. DCI Yes Total Citations Integer The number of citations attributed to the object. DCI Yes Published Year Integer The year the object was published. Objects published before 2018 were removed for this study. DCI Yes DOI_norm String N/A This field was created by the pipeline and contains a trimmed DOI for the API call. This can be removed from the final dataset. Pipeline No UR_norm String N/A This field was created by the pipeline and contains a trimmed UR for the API call. This can be removed from the final dataset. Pipeline No Source String N/A This field was created by the pipeline to prepared the query parameter for the API. This field will contain the DOI if present, else it will contain the UR. Pipeline No WeightedFAIRScore Decimal [0,100] The sum of FSum, ASum, ISum, and Rsum divided by the sum of MAX(FSum), MAX(ASum), MAX(ISum), and MAX(RSum). Pipeline Yes Source_norm String N/A A column generated by joining two data frames on the Source column. This is purely operational in nature. Pipeline No