Re: UK Research Assessment Exercise (RAE) review
Jan, do you have any data demonstrating the accuracy of the evaluations in faculty of 1000?
Dr. David Goodman
Princeton University Library
and
Palmer School of Library & Information Science, Long Island University
dgoodman_at_princeton.edu
----- Original Message -----
From: Jan Velterop <jan_at_biomedcentral.com>
Date: Tuesday, November 26, 2002 1:33 pm
Subject: Re: UK Research Assessment Exercise (RAE) review
> As Einstein said, "Not everything that can be counted, counts; and not
> everything that counts, can be counted."
>
> Scientometrics and other metrics are about counting what can be
> counted.No-doubt the actions of citing, using, browsing, teaching,
> et cetera,
> are real ones that can be counted and thus are 'objective'. So
> 'quantity'is dealt with. What about 'quality'? Quality is
> relative, and based on
> judgement. The (micro-)judgements that lead to citing, browsing,
> awardingNobel prizes (OK, not so micro), et cetera, are utterly
> subjective,so what we count is 'votes'. Does more votes mean a
> higher 'quality'
> than fewer votes? Does it matter who does the voting?
>
> I think it does, at least in these matters, and therefore a review
> processis needed that ranks things like originality, fundamental
> new insights,
> and yes, contributions to wider dissemination and understanding as
> well,in order to base important decisions on more than just quasi-
> objectivemeasurements.
>
> Fortunately, in biology such secondary review is beginning to take
> shape:Faculty of 1000 (www.facultyof1000.com). It often shows that
> the subjective
> importance of articles is often unconnected, or only very loosely
> connected,to established scientometrics. It constantly brings up
> 'hidden jewels',
> articles in pretty obscure journals that are nonetheless highly
> interestingor significant.
>
> I am sure that automated, more inclusive, counting of votes made
> possible by
> open and OAI-compliant online journals and repositories will help the
> visibility of those currently outside the ISI Impact Factory
> universe, such
> as the journals from Bhutan. But it can't replace judgement.
>
> Jan Velterop
>
> > -----Original Message-----
> > From: Stevan Harnad [harnad_at_ecs.soton.ac.uk]
> > Sent: 26 November 2002 15:16
> > To: AMERICAN-SCIENTIST-OPEN-ACCESS-FORUM_at_LISTSERVER.SIGMAXI.ORG
> >
> > For the sake of communication and moving ahead, I would like to
> clarify> two points of definition (and methodology, and logic)
> about the terms
> > "research impact" and "scientometric measures":
> >
> > "Research impact" means the measurable effects of research,
> including> everything in the following range of measurable effects:
> >
> > (1) browsed
> > (2) read
> > (3) taught
> > (4) cited
> > (5) co-cited by authoritative sources
> > (6) used in other research
> > (7) applied in practical applications
> > (8) awarded the Nobel Prize
> >
> > All of these (and probably more) are objectively measurable
> indices of
> > research impact. Research impact is not, and never has been just
> (4),> i.e., not just citation counts, whether average journal
> citation ratios
> > (the ISI "journal impact factor") or individual paper total or
> annual> citation counts, or individual author total or average or
> annual> citation counts (though citations are certainly important,
> in this
> > family of impact measures).
> >
> > So when I speak of the multiple regression equation measuring
> research> impact I mean all of the above (at the very least).
> >
> > "Scientometric measures" are the above measures. Scientometric
> analyses> also include time-series analyses, looking for time-
> based patterns in
> > the individual curves and the interrelations among measures like the
> > above ones -- and much more, to be discovered and designed as the
> > scientometric database consisting of the full text papers, their
> > reference list and their raw data become available for
> > analysis online.
>
Received on Tue Nov 26 2002 - 19:35:57 GMT
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