Allocative efficiency in public research funding: can bibliometrics help? (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Allocative efficiency in public research funding: can bibliometrics help? (Articolo in rivista) (literal)

Anno

• 2009-01-01T00:00:00+01:00 (literal)

Alternative label

• Abramo, G.; Caprasecca, A.; D'Angelo, C.A. (2009)
  Allocative efficiency in public research funding: can bibliometrics help?
  in Research Policy
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Abramo, G.; Caprasecca, A.; D'Angelo, C.A. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 38(1) (literal)

Rivista

• Research Policy (Rivista)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR Università di Roma Tor Vergata (literal)

Titolo

• Allocative efficiency in public research funding: can bibliometrics help? (literal)

Abstract

• he use of outcome control modes of research evaluation exercises is ever more frequent. They are conceived as tools to stimulate increased levels of research productivity, and to guide choices in allocating components of government research budgets for publicly funded institutions. There are several contributions in the literature that compare the different methodological approaches that policy makers could adopt for these exercises, however the comparisons are limited to only a few disciplines. This work, examining the case of the whole of the \"hard sciences\" of the Italian academic system, makes a comparison between results obtained from peer review type of evaluations (as adopted by the Ministry of Universities and Research) and those possible from a bibliometric approach (as developed by the authors). The aim is to understand to what extent bibliometric methodology, which is noted as relatively inexpensive, time-saving and exhaustive, can complement and integrate peer review methodology in research evaluation. (C) 2008 Elsevier B.V. All rights reserved. (literal)

Prodotto di

• Data Mining, Identificazione e Stima per Sistemi Complessi (ICT.P11.004.001) (Modulo)
• Istituto di analisi dei sistemi ed informatica \"Antonio Ruberti\" (IASI) (Istituto)

Autore CNR

• GIOVANNI ABRAMO (Persona)

Incoming links:

Prodotto

• Istituto di analisi dei sistemi ed informatica \"Antonio Ruberti\" (IASI) (Istituto)
• Data Mining, Identificazione e Stima per Sistemi Complessi (ICT.P11.004.001) (Modulo)

Autore CNR di

• GIOVANNI ABRAMO (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Research Policy (Rivista)