F-UJI evaluation output for the paper "Recommendations for discipline-specific FAIRness evaluation derived from applying an ensemble of evaluation tools"

Project: Literature - Literature summary: Showcasing the FAIRness of a repositories' data management services requires the application of available FAIRness evaluation methods and tools. Results from these tools - in the form of FAIR scores - need to made available for transparency reasons. This data collection is comprised of any results obtained from evaluation the FAIRness of WDCC's data holdings. Some of these data form the basis of peer-reviewed publications (see associated data for more information). A selected number of WDCC entries was evaluated using the F-UJI tool for the publication "Recommendations for discipline-specific FAIRness evaluation derived from applying an ensemble of evaluation tools", by Karsten Peters-von Gehlen et al., submitted to Data Science Journal in September 2021. The web-based F-UJI tool does not allow for export of evaluation results. Therefore, the output presented in the web GUI was saved as PDF document. The documents available here are a collection of collated PDF-documents containing the results of the WDCC evaluation conducted on 5 May 2021. Three documents are available, where one document covers each of the evaluation WDCC entry types (experiment, dataset_group, dataset). Creative Commons Attribution 4.0 International (CC BY 4.0)