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F1000Res. 2016 Jun 16;5:1396. doi: 10.12688/f1000research.8798.2. eCollection 2016.

search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles.

F1000Research

Carrie L Iwema, John LaDue, Angela Zack, Ansuman Chattopadhyay

Affiliations

  1. Health Sciences Library System, University of Pittsburgh, Pittsburgh, USA.

PMID: 27508060 PMCID: PMC4957174 DOI: 10.12688/f1000research.8798.2

Abstract

The time it takes for a completed manuscript to be published traditionally can be extremely lengthy. Article publication delay, which occurs in part due to constraints associated with peer review, can prevent the timely dissemination of critical and actionable data associated with new information on rare diseases or developing health concerns such as Zika virus. Preprint servers are open access online repositories housing preprint research articles that enable authors (1) to make their research immediately and freely available and (2) to receive commentary and peer review prior to journal submission. There is a growing movement of preprint advocates aiming to change the current journal publication and peer review system, proposing that preprints catalyze biomedical discovery, support career advancement, and improve scientific communication. While the number of articles submitted to and hosted by preprint servers are gradually increasing, there has been no simple way to identify biomedical research published in a preprint format, as they are not typically indexed and are only discoverable by directly searching the specific preprint server websites. To address this issue, we created a search engine that quickly compiles preprints from disparate host repositories and provides a one-stop search solution. Additionally, we developed a web application that bolsters the discovery of preprints by enabling each and every word or phrase appearing on any web site to be integrated with articles from preprint servers. This tool, search.bioPreprint, is publicly available at http://www.hsls.pitt.edu/resources/preprint.

Keywords: bookmarklet; grey literature; open science; peer review; pre-print; pre-publish; search engine; server

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