Detectors could spot plagiarism in research proposals

Maojo Garcia, Victor Manuel and García Remesal, Miguel and Crespo del Arco, Jose (2008). Detectors could spot plagiarism in research proposals. "Nature-London", v. 456 (n. 7218); p. 30. ISSN 0028-0836. https://doi.org/10.1038/456030c.

Description

Title: Detectors could spot plagiarism in research proposals
Author/s:
  • Maojo Garcia, Victor Manuel
  • García Remesal, Miguel
  • Crespo del Arco, Jose
Item Type: Article
Título de Revista/Publicación: Nature-London
Date: November 2008
ISSN: 0028-0836
Volume: 456
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Having all been involved in proposal evaluation, we believe the studies indicate that a text matching analysis of research proposals could reduce plagiarism in subsequent publications. For instance, when European Commission evaluators have met in the past to evaluate research proposals, they received printed copies which had to be returned before the panel members left, and had no computer access during deliberations. A plagiarism detector using text-mining methods could be used instead of the current security measures. Such a system could, in principle, detect similarities to previous submissions and uncited sources using advanced document segmentation. Only official agencies have access to confidential proposals and the funds to experiment with automated plagiarism-detectors. It is important that they should investigate these approaches to reducing the possibility of scientific misconduct.

More information

Item ID: 2813
DC Identifier: http://oa.upm.es/2813/
OAI Identifier: oai:oa.upm.es:2813
DOI: 10.1038/456030c
Official URL: http://www.nature.com/nature/journal/v456/n7218/index.html
Deposited by: Memoria Investigacion
Deposited on: 22 Apr 2010 11:51
Last Modified: 20 Apr 2016 12:28
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