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search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957174/ https://www.ncbi.nlm.nih.gov/pubmed/27508060 http://dx.doi.org/10.12688/f1000research.8798.2 |
_version_ | 1782444136690876416 |
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author | Iwema, Carrie L. LaDue, John Zack, Angela Chattopadhyay, Ansuman |
author_facet | Iwema, Carrie L. LaDue, John Zack, Angela Chattopadhyay, Ansuman |
author_sort | Iwema, Carrie L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4957174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-49571742016-08-08 search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles Iwema, Carrie L. LaDue, John Zack, Angela Chattopadhyay, Ansuman F1000Res Software Tool Article 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. F1000Research 2016-07-20 /pmc/articles/PMC4957174/ /pubmed/27508060 http://dx.doi.org/10.12688/f1000research.8798.2 Text en Copyright: © 2016 Iwema CL et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Iwema, Carrie L. LaDue, John Zack, Angela Chattopadhyay, Ansuman search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles |
title | search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles |
title_full | search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles |
title_fullStr | search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles |
title_full_unstemmed | search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles |
title_short | search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles |
title_sort | search.biopreprint: a discovery tool for cutting edge, preprint biomedical research articles |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957174/ https://www.ncbi.nlm.nih.gov/pubmed/27508060 http://dx.doi.org/10.12688/f1000research.8798.2 |
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