Call for Papers: PLoS Text Mining Collection by Camron Assadi.
From the post:
The Public Library of Science (PLoS) seeks submissions in the broad field of text-mining research for a collection to be launched across all of its journals in 2013. All submissions submitted before October 30th, 2012 will be considered for the launch of the collection. Please read the following post for further information on how to submit your article.
The scientific literature is exponentially increasing in size, with thousands of new papers published every day. Few researchers are able to keep track of all new publications, even in their own field, reducing the quality of scholarship and leading to undesirable outcomes like redundant publication. While social media and expert recommendation systems provide partial solutions to the problem of keeping up with the literature, systematically identifying relevant articles and extracting key information from them can only come through automated text-mining technologies.
Research in text mining has made incredible advances over the last decade, driven through community challenges and increasingly sophisticated computational technologies. However, the promise of text mining to accelerate and enhance research largely has not yet been fulfilled, primarily since the vast majority of the published scientific literature is not published under an Open Access model. As Open Access publishing yields an ever-growing archive of unrestricted full-text articles, text mining will play an increasingly important role in drilling down to essential research and data in scientific literature in the 21st century scholarly landscape.
As part of its commitment to realizing the maximal utility of Open Access literature, PLoS is launching a collection of articles dedicated to highlighting the importance of research in the area of text mining. The launch of this Text Mining Collection complements related PLoS Collections on Open Access and Altmetrics (forthcoming), as well as the recent release of the PLoS Application Programming Interface, which provides an open API to PLoS journal content.
Highly recommend that you follow up on this publication opportunity.
I am less certain that: “…the promise of text mining to accelerate and enhance research largely has not yet been fulfilled, primarily since the vast majority of the published scientific literature is not published under an Open Access model.”
Don’t recall seeing any research on a connection between a lack of Open Access and failure of text mining to accelerate research.
CiteSeer and arXiv have long been freely available in full text. If research were going to leap forward from open access, the opportunity has been present.
Open access does advance research and discovery but it isn’t a magic bullet. Accelerating and enhancing research is going to require more than simply indexing literature. A lot more.
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