Author: Cristina-Iulia Bucur
We currently disseminate, share, and evaluate scientific findings following paradigms of publishing where the only difference from the methods of more than 300 years ago is the medium in which we publish – we have moved from printed articles to digital format, but still use almost the same natural language narrative with long coarse-grained text with complicated structures. These are optimized for human readers and not for automated means of organization and access. Additionally, peer reviewing is the main method of quality assessment, but these peer reviews are rarely published and have their own complicated structure, with no accessible links to the respective articles. With the increasing number of articles being published, it is difficult for researchers to stay up to date in their specific fields, unless we find a way to involve machines as well in this whole process. So, how can we make use of the current technologies to change these old paradigms of publishing and make the process more transparent and machine-interpretable?
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