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Open Access Scientometrics and the UK Research Assessment Exercise

Autor: Harnad, Stevan
Editora: 2009
Edição/Formato   Material de arquivo descarregável : Inglês
Base de Dados:WorldCat
Resumo:
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  Ler mais...
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Detalhes

Gênero/Forma: Article de revue scientifique
PeerReviewed
Tipo de Material: Recurso Internet
Tipo de Documento: Recurso Internet, Material de Arquivo
Todos os Autores / Contribuintes: Harnad, Stevan
Número OCLC: 688493489
Nota do Idioma: English English
Notas: application/pdf
text/html

Resumo:

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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Primary Entity

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