Scientific data science and the case for Open Access

“Open access” has become a central theme of journal reform in academic publishing. In this article, I examine the consequences of an important technological loophole in which publishers can claim to be adhering to the principles of open access by releasing articles in proprietary or “locked” formats that cannot be processed by automated tools, whereby even simple copy and pasting of text is disabled. These restrictions will prevent the development of an important infrastructural element of a modern research enterprise, namely, scientific data science, or the use of data analytic techniques to conduct meta-analyses and investigations into the scientific corpus. I give a brief history of the open access movement, discuss novel journalistic practices, and an overview of data-driven investigation of the scientific corpus. I argue that particularly in an…


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