The tool comprises 19 carefully designed questions, each generously supplied with additional information and practical tips which extend your understanding of the FAIR principles as they demonstrate how making data FAIR can increase the potential value and impact of your data. Taking yourself through the FAIR-Aware process will not provide a score for the FAIRness of a particular dataset, but to get the most out of it you should have a target dataset in mind!
FAIR-Aware has been developed by FAIRsFAIR partners DANS, DCC, UniHB and we’ve done our best to make using it as simple and time-efficient as possible. We’re looking to make further improvements so you’ll notice that some of the questions are directed at users. All feedback received will be taken on board and incorporated into a final version. An interim report will be published in September detailing what we’ve learned from this initial phase and explaining the upgrades we have in mind.