Open Access Scientometrics and the UK Research Assessment Exercise
Open Access Scientometrics and the UK Research Assessment Exercise
Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Assessment Exercise (RAE) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, etc. can all be tested and validated jointly, discipline by discipline, against their RAE panel rankings in the forthcoming parallel panel-based and metric RAE in 2008. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster.
open access, scientometrics, research assessment exercise, RAE, citations, validity, multiple regression, psychometrics, factor analysis
Harnad, Stevan
442ee520-71a1-4283-8e01-106693487d8b
Torres-Salinas, Daniel
e1a9596c-d66f-4f34-a8de-67a5bc8a542c
Moed, Hank F.
c9caeb17-a967-4d68-9160-c8c4aef0a685
27 June 2007
Harnad, Stevan
442ee520-71a1-4283-8e01-106693487d8b
Torres-Salinas, Daniel
e1a9596c-d66f-4f34-a8de-67a5bc8a542c
Moed, Hank F.
c9caeb17-a967-4d68-9160-c8c4aef0a685
Harnad, Stevan
(2007)
Open Access Scientometrics and the UK Research Assessment Exercise.
Torres-Salinas, Daniel and Moed, Hank F.
(eds.)
11th Annual Meeting of the International Society for Scientometrics and Informetrics, Madrid, Madrid, Spain.
25 - 27 Jun 2007.
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Conference or Workshop Item
(Other)
Abstract
Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Assessment Exercise (RAE) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, etc. can all be tested and validated jointly, discipline by discipline, against their RAE panel rankings in the forthcoming parallel panel-based and metric RAE in 2008. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster.
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Accepted/In Press date: 2007
Published date: 27 June 2007
Additional Information:
Invited Keynote Address
Venue - Dates:
11th Annual Meeting of the International Society for Scientometrics and Informetrics, Madrid, Madrid, Spain, 2007-06-25 - 2007-06-27
Keywords:
open access, scientometrics, research assessment exercise, RAE, citations, validity, multiple regression, psychometrics, factor analysis
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 263804
URI: http://eprints.soton.ac.uk/id/eprint/263804
PURE UUID: ad8e3a81-1d6b-4a4f-a9da-de92af84632a
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Date deposited: 29 Mar 2007
Last modified: 15 Mar 2024 02:48
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Contributors
Author:
Stevan Harnad
Editor:
Daniel Torres-Salinas
Editor:
Hank F. Moed
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