In this paper the statistics and metrics of a recent crowdsourcing effort are analysed across the different digitised material types (newspapers, journals, ephemera). The user given subjects, categories and keywords are analysed to see which topics are the most appealing. Some notable public uses of crowdsourced article clippings are highlighted. The metrics give us indications on how end users, through their own interests, are investigating and using the digital collections. The suggested metrics therefore illustrate the versatility of information needs from citizen science to research purposes.

The presentation consists of work-in-progress metrics of #digitalkoot, the crowdsourcing project launched by National Library of Finland