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Quality related publication categories in social sciences and humanities,
based on a university's peer review assessments
Nadine Rons and Arlette De Bruyn
Introduction
Bibliometric analysis has firmly conquered its place as an instrument for evaluation and international comparison of performance levels.
Consequently, differences in coverage by standard bibliometric databases installed a dichotomy between on the one hand the well covered 'exact'
sciences, and on the other hand most of the social sciences and humanities with a more limited coverage (Nederhof, 2006). Also the latter
domains need to be able to soundly demonstrate their level of performance and claim or legitimate funding accordingly. An important part of the
output volume in social sciences appears as books, book chapters and national literature (Hicks, 2004). To proceed from publication data to
performance measurement, quantitative publication counts need to be combined with qualitative information, for example from peer
assessment or validation (European Expert Group on Assessment of University-Based Research, 2010), to identify those categories that represent
research quality as perceived by peers. An accurate focus is crucial in order to stimulate, recognize and reward high quality achievements only.
This paper demonstrates how such a selection of publication categories can be based on correlations with peer judgments. It is also illustrated
that the selection should be sufficiently precise, to avoid subcategories negatively correlated with peer judgments. The findings indicate that, also
in social sciences and humanities, publications in journals with an international referee system are the most important category for evaluating
quality. Book chapters with international referee system and contributions in international conference proceedings follow them.
Method
Assessments per discipline by international expert panels
(Rons, De Bruyn & Cornelis, 2008)
⇓
  Peer ratings
  Publication counts per full time equivalent leading staff
⇓
Normalization per discipline (Rons & De Bruyn, 2007)
⇓
Correlations per discipline and
for the social sciences and humanities as a whole
Material
  Evaluation conducted between 1999 and 2009
  6 research disciplines in social sciences and humanities
  56 evaluated teams
  ± 500 full time equivalent researchers
  58 experts from 10 countries
  23 publication categories
  8 interrelated peer rating categories, including an overall
evaluation as well as scores on scientific merit, planning,
innovation, team quality, feasibility, productivity and
scientific impact
Table 1. Significant correlations with peer ratings per scientific publication category
Observations and conclusions
Table 1 highlights significantly positive and negative correlations with one or more peer rating categories at a 5% confidence level, for publications
in books, journals and conference proceedings. Publication categories with an international dimension, in particular journal articles, show no
other than positive correlations, while no other than negative or mixed correlations are found for the other categories. This indicates that in social
sciences and humanities these 'international' publication categories can be used as legitimate general counterparts for the international journal
publications focused on in exact sciences, with the intrinsically largely locally oriented discipline of Law as the exception to the rule. This also
pinpoints the international dimension as an important criterion for selection or weighting of publication categories in performance based
funding or evaluation systems, in order to stimulate quality as perceived by peers. In a context of best practices, it supports the rationale that,
regardless of the discipline, high quality research performance requires that results be submitted to a sufficient extent to the scrutiny of the
international research community. The particularly strong correlations with peer judgments found for the category of international journals
suggest that this is the most effective publication medium for this purpose.
References
Expert Group on Assessment of University-Based Research (2010). Assessing Europe’s University-Based Research. DG Research, EUR 24187 EN.
Hicks, D. (2004). The Four Literatures of Social Science. In H.F. Moed, W. Glänzel and U. Schmoch (Eds.), Handbook of Quantitative Science and Technology Research (pp. 473-496). Kluwer Academic Publishers.
Nederhof, A.J. (2006). Bibliometric monitoring of research performance in the Social Sciences and the Humanities: A review. Scientometrics 66(1), 81-100.
Rons, N., De Bruyn, A. (2007). Quantitative CV-based indicators for research quality, validated by peer review. In D. Torres-Salinas and H. Moed (Eds.), Proceedings of ISSI 2007, 11th International Conference of the
International Society for Scientometrics and Informetrics, CSIC, Madrid, Spain, 25-27 June 2007 (pp. 930-931).
Rons, N., De Bruyn, A., Cornelis, J. (2008). Research evaluation per discipline: a peer-review method and its outcomes. Research Evaluation 17(1), 45-57.
Science and Technology Indicators (STI) Conference 2010, Leiden, the Netherlands
Nadine.Rons@vub.ac.be, Arlette.De.Bruyn@vub.ac.be
Research Coordination Unit, Research & Development Department, Vrije Universiteit Brussel (VUB), Brussels, Belgium

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Quality related publication categories in social sciences and humanities, based on a university's peer review assessments

  • 1. Quality related publication categories in social sciences and humanities, based on a university's peer review assessments Nadine Rons and Arlette De Bruyn Introduction Bibliometric analysis has firmly conquered its place as an instrument for evaluation and international comparison of performance levels. Consequently, differences in coverage by standard bibliometric databases installed a dichotomy between on the one hand the well covered 'exact' sciences, and on the other hand most of the social sciences and humanities with a more limited coverage (Nederhof, 2006). Also the latter domains need to be able to soundly demonstrate their level of performance and claim or legitimate funding accordingly. An important part of the output volume in social sciences appears as books, book chapters and national literature (Hicks, 2004). To proceed from publication data to performance measurement, quantitative publication counts need to be combined with qualitative information, for example from peer assessment or validation (European Expert Group on Assessment of University-Based Research, 2010), to identify those categories that represent research quality as perceived by peers. An accurate focus is crucial in order to stimulate, recognize and reward high quality achievements only. This paper demonstrates how such a selection of publication categories can be based on correlations with peer judgments. It is also illustrated that the selection should be sufficiently precise, to avoid subcategories negatively correlated with peer judgments. The findings indicate that, also in social sciences and humanities, publications in journals with an international referee system are the most important category for evaluating quality. Book chapters with international referee system and contributions in international conference proceedings follow them. Method Assessments per discipline by international expert panels (Rons, De Bruyn & Cornelis, 2008) ⇓   Peer ratings   Publication counts per full time equivalent leading staff ⇓ Normalization per discipline (Rons & De Bruyn, 2007) ⇓ Correlations per discipline and for the social sciences and humanities as a whole Material   Evaluation conducted between 1999 and 2009   6 research disciplines in social sciences and humanities   56 evaluated teams   ± 500 full time equivalent researchers   58 experts from 10 countries   23 publication categories   8 interrelated peer rating categories, including an overall evaluation as well as scores on scientific merit, planning, innovation, team quality, feasibility, productivity and scientific impact Table 1. Significant correlations with peer ratings per scientific publication category Observations and conclusions Table 1 highlights significantly positive and negative correlations with one or more peer rating categories at a 5% confidence level, for publications in books, journals and conference proceedings. Publication categories with an international dimension, in particular journal articles, show no other than positive correlations, while no other than negative or mixed correlations are found for the other categories. This indicates that in social sciences and humanities these 'international' publication categories can be used as legitimate general counterparts for the international journal publications focused on in exact sciences, with the intrinsically largely locally oriented discipline of Law as the exception to the rule. This also pinpoints the international dimension as an important criterion for selection or weighting of publication categories in performance based funding or evaluation systems, in order to stimulate quality as perceived by peers. In a context of best practices, it supports the rationale that, regardless of the discipline, high quality research performance requires that results be submitted to a sufficient extent to the scrutiny of the international research community. The particularly strong correlations with peer judgments found for the category of international journals suggest that this is the most effective publication medium for this purpose. References Expert Group on Assessment of University-Based Research (2010). Assessing Europe’s University-Based Research. DG Research, EUR 24187 EN. Hicks, D. (2004). The Four Literatures of Social Science. In H.F. Moed, W. Glänzel and U. Schmoch (Eds.), Handbook of Quantitative Science and Technology Research (pp. 473-496). Kluwer Academic Publishers. Nederhof, A.J. (2006). Bibliometric monitoring of research performance in the Social Sciences and the Humanities: A review. Scientometrics 66(1), 81-100. Rons, N., De Bruyn, A. (2007). Quantitative CV-based indicators for research quality, validated by peer review. In D. Torres-Salinas and H. Moed (Eds.), Proceedings of ISSI 2007, 11th International Conference of the International Society for Scientometrics and Informetrics, CSIC, Madrid, Spain, 25-27 June 2007 (pp. 930-931). Rons, N., De Bruyn, A., Cornelis, J. (2008). Research evaluation per discipline: a peer-review method and its outcomes. Research Evaluation 17(1), 45-57. Science and Technology Indicators (STI) Conference 2010, Leiden, the Netherlands Nadine.Rons@vub.ac.be, Arlette.De.Bruyn@vub.ac.be Research Coordination Unit, Research & Development Department, Vrije Universiteit Brussel (VUB), Brussels, Belgium