A concept for inferring rontier researchin grant proposals

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• 作者：Marianne Hrlesberger (1)
  Ivana Roche (2)
  Dominique Besagni (2)
  Thomas Scherngell (1)
  Claire Franois (2)
  Pascal Cuxac (2)
  Edgar Schiebel (1)
  Michel Zitt (3) (4)
  Dirk Holste (1)
  
• 关键词：Frontier research ; Peer ; review ; Bibliometric indicators ; Lexical analysis ; Statistical modelling
• 刊名：Scientometrics
• 出版年：2013
• 出版时间：November 2013
• 年：2013
• 卷：97
• 期：2
• 页码：129-148
• 全文大小：
• 作者单位：Marianne Hrlesberger (1)
  Ivana Roche (2)
  Dominique Besagni (2)
  Thomas Scherngell (1)
  Claire Franois (2)
  Pascal Cuxac (2)
  Edgar Schiebel (1)
  Michel Zitt (3) (4)
  Dirk Holste (1)
  
  1. AIT Austrian Institute of Technology GmbH, Donau-City-Strasse 1, 1220, Vienna, Austria
  2. CNRS, Institut de lnformation Scientifique et Technique, 2 All du Parc de Brabois, CS 10310, 54519, Vandoeuvre-les-Nancy, France
  3. INRA, Rue de la Geraudie, BP 71627, 44316, Nantes, France
  4. Observatoire des Sciences et des Techniques (OST), 93 Rue de Vaugirard, 75006, Paris, France
  
• ISSN：1588-2861

文摘

This paper discusses a concept for inferring attributes of rontier researchin peer-reviewed research proposals under the popular scheme of the European Research Council (ERC). The concept serves two purposes: firstly to conceptualize, define and operationalize in scientometric terms attributes of frontier research; and secondly to build and compare outcomes of a statistical model with the review decision in order to obtain further insight and reflect upon the influence of frontier research in the peer-review process. To this end, indicators across scientific disciplines and in accord with the strategic definition of frontier research by the ERC are elaborated, exploiting textual proposal information and other scientometric data of grant applicants. Subsequently, a suitable model is formulated to measure ex-post the influence of attributes of frontier research on the decision probability of a proposal to be accepted. We present first empirical data as proof of concept for inferring frontier research in grant proposals. Ultimately the concept is aiming at advancing the methodology to deliver signals for monitoring the effectiveness of peer-review processes.