Abstract: In our paper, we described the current state of some of the tagging of articles within the PMC Open Access subset. As a case study, we used our experiences developing the Open Access Media Importer, a tool to harvest content from the OA subset and automatically upload it to Wikimedia Commons.
Tagging inconsistencies stretch across several aspects of the articles, ranging from licensing to keywords to the media types of supplementary materials. While all of these complicate large-scale reuse, the unclear licensing statements required us to implement text mining-like algorithms in order to accurately determine whether or not specific content was compatible with reuse on Wikimedia Commons.
Besides presenting examples of incorrectly tagged XML from a range of publishers, we will also explore past and current efforts towards standardization of license tagging, and we will describe a set of recommendations for generators of content on how best to tag certain data so that it is both compatible with existing standards, and consistent and machine-readable.