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Nucleic Acids Research Advance Access originally published online on August 30, 2008
Nucleic Acids Research 2009 37(Database issue):D921-D924; doi:10.1093/nar/gkn546
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Nucleic Acids Research, 2009, Vol. 37, Database issue D921-D924
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

Déjà vu: a database of highly similar citations in the scientific literature

Mounir Errami1,*, Zhaohui Sun1, Tara C. Long2, Angela C. George2 and Harold R. Garner1,2

1Division of Translational Research and 2McDermott Center for Human Growth and Development, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9185, USA

*To whom correspondence should be addressed. Tel: +1 214 648 5992; Fax: +1 214 648 1445; Email: mounir.errami{at}utsouthwestern.edu

Received August 7, 2008. Accepted August 9, 2008.

In the scientific research community, plagiarism and covert multiple publications of the same data are considered unacceptable because they undermine the public confidence in the scientific integrity. Yet, little has been done to help authors and editors to identify highly similar citations, which sometimes may represent cases of unethical duplication. For this reason, we have made available Déjà vu, a publicly available database of highly similar Medline citations identified by the text similarity search engine eTBLAST. Following manual verification, highly similar citation pairs are classified into various categories ranging from duplicates with different authors to sanctioned duplicates. Déjà vu records also contain user-provided commentary and supporting information to substantiate each document's categorization. Déjà vu and eTBLAST are available to authors, editors, reviewers, ethicists and sociologists to study, intercept, annotate and deter questionable publication practices. These tools are part of a sustained effort to enhance the quality of Medline as ‘the’ biomedical corpus. The Déjà vu database is freely accessible at http://spore.swmed.edu/dejavu. The tool eTBLAST is also freely available at http://etblast.org.


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