IDEAS home Printed from https://ideas.repec.org/a/oup/rseval/v21y2012i4p270-279.html
   My bibliography  Save this article

Funding programmes for young scientists--Do the 'best' apply?

Author

Listed:
  • Jörg Neufeld
  • Stefan Hornbostel

Abstract

Evaluation studies of application-based funding programmes often raise the question of whether the 'best' applicants (in terms of ex-ante and ex-post publication performance) are selected for funding. For this reason actual applicants seem to be a well-studied group. However, for a comprehensive appraisal of the applicants' group, some details about performance distribution in the group of potential applicants would be valuable. The relative performance of actual applicants (compared to potential applicants) is of interest to funding organizations when developing, rearranging and promoting their funding schemes. The question is: 'Does a funding scheme attract the "best" young scientists?' Or are there alternative attractive ways of pursuing a scientific career that influence the choice of potential applicants? In this article we examine that question by using bibliometric methods to compare a sample of applicants for the Emmy Noether Programme (ENP) provided by the German Research Foundation (DFG) with potential applicants (people who actually hold a professorship or are qualified for it (Habilitierte), and who are from the same cohort of postdocs as the ENP applicants, but did not apply for the ENP. Copyright The Author 2012. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com, Oxford University Press.

Suggested Citation

  • Jörg Neufeld & Stefan Hornbostel, 2012. "Funding programmes for young scientists--Do the 'best' apply?," Research Evaluation, Oxford University Press, vol. 21(4), pages 270-279, September.
    • Handle: RePEc:oup:rseval:v:21:y:2012:i:4:p:270-279
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/reseval/rvs018
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. van den Besselaar, Peter & Sandström, Ulf, 2015. "Early career grants, performance, and careers: A study on predictive validity of grant decisions," Journal of Informetrics, Elsevier, vol. 9(4), pages 826-838.
    2. Kevin W. Boyack & Caleb Smith & Richard Klavans, 2018. "Toward predicting research proposal success," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 449-461, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:rseval:v:21:y:2012:i:4:p:270-279. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/rev .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.