Author: Emma Veitch

PLOS’s continued commitment to transparency in trial publication

As of today, PLOS is retiring its two “Hubs”, which have respectively highlighted and brought together open-access content in two specific areas: Biodiversity and Clinical Trials. These sites were initially developed to experiment with how the open-access literature might be reorganised and filtered across journals, providing ways of enabling readers in particular fields to access material of interest to them. The Hub:Clinical Trials was dedicated to highlighting clinical trials research across the PLOS journals, as well as maintaining an archive of the original work previously published in PLOS Clinical Trials. Although the Hub will no longer exist, all unique articles originally published in PLOS Clinical Trials will continue to be openly available at, as well as in PubMed Central. Trials research published in other PLOS journals will be available as usual on those journals’ sites. The decision in no way diminishes PLOS’s commitment to publishing all correctly conducted and reported clinical trials and we also intend to explore new ways of aggregating content in future. PLOS has always been committed to raising awareness about the effects of publication biases in relation to clinical trial data, and to providing ways of addressing those biases. This commitment now continues through a number of ongoing initiatives which PLOS journals continue to support.
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PLOS ONE welcomes RIAT (Restoring Invisible and Abandoned Trials) Initiative

 Last week BMJ published an article proposing a new initiative aimed at solving an age-old problem in medical publishing: that of the perennial failure of investigators and sponsors to publish all of the results of all their trials, accurately and transparently. The BMJ paper ups the ante and invites independent, “restorative authors” to step in and take charge of unpublished or misreported trials. It’s not so much “publish and be damned” as “publish or be published”. Restorative authors can now use as their data source the documentation from a trial (often many thousands of pages of protocols, clinical study reports, and individual patient datasets or analysed datasets) obtained through freedom of information requests. The RIAT proposers (Peter Doshi, Kay Dickersin, David Healy, S Swaroop Vedula and Tom Jefferson) describe in their table 1 the many documents and datasets they have already obtained for a large number of trials, and which they’re willing to share. Doshi et al invite collaborators to their enterprise:
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