A semi-automatic web based tool for the selection of research projects reviewers.
Identifieur interne : 000144 ( PubMed/Corpus ); précédent : 000143; suivant : 000145A semi-automatic web based tool for the selection of research projects reviewers.
Auteurs : Valeria Pupella ; Maria Eugenia Monteverde ; Claudio Lombardo ; Filippo Belardelli ; Mauro GiacominiSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- classification : Periodicals as Topic.
- methods : Peer Review, Research, Personnel Selection.
- Artificial Intelligence, Decision Making, Internet, Medical Subject Headings, PubMed, Software.
Abstract
The correct evaluation of research proposals continues today to be problematic, and in many cases, grants and fellowships are subjected to this type of assessment. A web based semi-automatic tool to help in the selection of reviewers was developed. The core of the proposed system is the matching of the MeSH Descriptors of the publications submitted by the reviewers (for their accreditation) and the Descriptor linked to the research keywords, which were selected. Moreover, a citation related index was further calculated and adopted in order to discard not suitable reviewers. This tool was used as a support in a web site for the evaluation of candidates applying for a fellowship in the oncology field.
PubMed: 25160328
Links to Exploration step
pubmed:25160328Le document en format XML
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<affiliation><nlm:affiliation>Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Via Opera Pia 13, 16145 Genoa, Italy.</nlm:affiliation>
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<author><name sortKey="Monteverde, Maria Eugenia" sort="Monteverde, Maria Eugenia" uniqKey="Monteverde M" first="Maria Eugenia" last="Monteverde">Maria Eugenia Monteverde</name>
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<front><div type="abstract" xml:lang="en">The correct evaluation of research proposals continues today to be problematic, and in many cases, grants and fellowships are subjected to this type of assessment. A web based semi-automatic tool to help in the selection of reviewers was developed. The core of the proposed system is the matching of the MeSH Descriptors of the publications submitted by the reviewers (for their accreditation) and the Descriptor linked to the research keywords, which were selected. Moreover, a citation related index was further calculated and adopted in order to discard not suitable reviewers. This tool was used as a support in a web site for the evaluation of candidates applying for a fellowship in the oncology field.</div>
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