The Experts below are selected from a list of 33414 Experts worldwide ranked by ideXlab platform
Barry Bozeman - One of the best experts on this subject based on the ideXlab platform.
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Curriculum vitae method in science policy and Research Evaluation: the state-of-the-art
Research Evaluation, 2009Co-Authors: Carolina Cañibano, Barry BozemanAbstract:This is a state-of-the-art assessment for a small but burgeoning Research approach, use of curricula vitae in Research Evaluation. The accumulated Research remains sufficiently modest for us to consider nearly all published studies and the full range of Research purposes to which CV analysis has been applied. CV analysis has been theory-driven, and theory and tools have increasingly converged. Advances in method and technique have been abetted especially by the push for a scientific and technical human capital theory to explain the role of capacity in Research Evaluation. We summarize the theoretical rationale for CV analysis, and present three major foci: career trajectories, mobility, and the mapping of collective capacity. We assess progress in solving methodological and practical problems and the future Research possibilities and remaining needs in developing methods. We reflect on some new Research topics that could benefit from CV analysis. We draw on the papers in this special issue of Research Evaluation to illustrate Research developments and to show the place of specific contributions in the developing CV literature. Copyright , Beech Tree Publishing.
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Curriculum vitae method in science policy and Research Evaluation: the state-of-the-art
Research Evaluation, 2009Co-Authors: Carolina Cañibano, Barry BozemanAbstract:This is a state-of-the-art assessment for a small but burgeoning Research approach, use of curricula vitae in Research Evaluation. The accumulated Research remains sufficiently modest for us to consider nearly all published studies and the full range of Research purposes to which CV analysis has been applied. CV analysis has been theory-driven, and theory and tools have increasingly converged. Advances in method and technique have been abetted especially by the push for a scientific and technical human capital theory to explain the role of capacity in Research Evaluation. We summarize the theoretical rationale for CV analysis, and present three major foci: career trajectories, mobility, and the mapping of collective capacity. We assess progress in solving methodological and practical problems and the future Research possibilities and remaining needs in developing methods. We reflect on some new Research topics that could benefit from CV analysis. We draw on the papers in this special issue of Research Evaluation to illustrate Research developments and to show the place of specific contributions in the developing CV literature.
Rodrigo Costas - One of the best experts on this subject based on the ideXlab platform.
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Springer Handbook of Science and Technology Indicators - Social media metrics for new Research Evaluation
Springer Handbook of Science and Technology Indicators, 2020Co-Authors: Paul Wouters, Zohreh Zahedi, Rodrigo CostasAbstract:This chapter approaches, from both a theoretical and practical perspective, the most important principles and conceptual frameworks that can be considered in the application of social media metrics for scientific Evaluation. We propose conceptually valid uses for social media metrics in Research Evaluation. The chapter discusses frameworks and uses of these metrics as well as principles and recommendations for the consideration and application of current (and potentially new) metrics in Research Evaluation.
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Social media metrics for new Research Evaluation
arXiv: Digital Libraries, 2018Co-Authors: Paul Wouters, Zohreh Zahedi, Rodrigo CostasAbstract:This chapter approaches, both from a theoretical and practical perspective, the most important principles and conceptual frameworks that can be considered in the application of social media metrics for scientific Evaluation. We propose conceptually valid uses for social media metrics in Research Evaluation. The chapter discusses frameworks and uses of these metrics as well as principles and recommendations for the consideration and application of current (and potentially new) metrics in Research Evaluation.
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f1000 recommendations as a potential new data source for Research Evaluation a comparison with citations
Journal of the Association for Information Science and Technology, 2014Co-Authors: Ludo Waltman, Rodrigo CostasAbstract:F1000 is a postpublication peer review service for biological and medical Research. F1000 recommends important publications in the biomedical literature, and from this perspective F1000 could be an interesting tool for Research Evaluation. By linking the complete database of F1000 recommendations to the Web of Science bibliographic database, we are able to make a comprehensive comparison between F1000 recommendations and citations. We find that about 2% of the publications in the biomedical literature receive at least one F1000 recommendation. Recommended publications on average receive 1.30 recommendations, and more than 90% of the recommendations are given within half a year after a publication has appeared. There turns out to be a clear correlation between F1000 recommendations and citations. However, the correlation is relatively weak, at least weaker than the correlation between journal impact and citations. More Research is needed to identify the main reasons for differences between recommendations and citations in assessing the impact of publications.
Carolina Cañibano - One of the best experts on this subject based on the ideXlab platform.
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Curriculum vitae method in science policy and Research Evaluation: the state-of-the-art
Research Evaluation, 2009Co-Authors: Carolina Cañibano, Barry BozemanAbstract:This is a state-of-the-art assessment for a small but burgeoning Research approach, use of curricula vitae in Research Evaluation. The accumulated Research remains sufficiently modest for us to consider nearly all published studies and the full range of Research purposes to which CV analysis has been applied. CV analysis has been theory-driven, and theory and tools have increasingly converged. Advances in method and technique have been abetted especially by the push for a scientific and technical human capital theory to explain the role of capacity in Research Evaluation. We summarize the theoretical rationale for CV analysis, and present three major foci: career trajectories, mobility, and the mapping of collective capacity. We assess progress in solving methodological and practical problems and the future Research possibilities and remaining needs in developing methods. We reflect on some new Research topics that could benefit from CV analysis. We draw on the papers in this special issue of Research Evaluation to illustrate Research developments and to show the place of specific contributions in the developing CV literature.
Zohreh Zahedi - One of the best experts on this subject based on the ideXlab platform.
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Springer Handbook of Science and Technology Indicators - Social media metrics for new Research Evaluation
Springer Handbook of Science and Technology Indicators, 2020Co-Authors: Paul Wouters, Zohreh Zahedi, Rodrigo CostasAbstract:This chapter approaches, from both a theoretical and practical perspective, the most important principles and conceptual frameworks that can be considered in the application of social media metrics for scientific Evaluation. We propose conceptually valid uses for social media metrics in Research Evaluation. The chapter discusses frameworks and uses of these metrics as well as principles and recommendations for the consideration and application of current (and potentially new) metrics in Research Evaluation.
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Understanding the value of social media metrics for Research Evaluation
2018Co-Authors: Zohreh ZahediAbstract:The availability of indicators based on social media has opened the possibility to track the online interactions between social media users and scholarly entities. Indicators derived from these online interactions reflect aspects such as how often, by whom, and when are scholarly publications mentioned and discussed on social media platforms. These new indicators, popularly known as altmetrics and more technically referred as social media metrics are usually proposed as potential alternatives to citation-based indicators to inform Research Evaluation. The Research presented in this book provides the state of the art in the possibilities of social media metrics for informing Research Evaluation. The main ambition is to increase the knowledge and understanding of the limitations, challenges, and actual possibilities of social media metrics for Research Evaluation. This thesis describes the presence and distribution of different social media metrics across scientific publications and their relationship with traditional impact indicators. It further describes the main characteristics of publications mentioned in Mendeley as one of the main social media metrics platforms. Moreover, critical challenges regarding data quality issues of social media data are thoroughly described and discussed. Finally, some possibilities and applications of social media metrics for informing Research Evaluation are presented.
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Social media metrics for new Research Evaluation
arXiv: Digital Libraries, 2018Co-Authors: Paul Wouters, Zohreh Zahedi, Rodrigo CostasAbstract:This chapter approaches, both from a theoretical and practical perspective, the most important principles and conceptual frameworks that can be considered in the application of social media metrics for scientific Evaluation. We propose conceptually valid uses for social media metrics in Research Evaluation. The chapter discusses frameworks and uses of these metrics as well as principles and recommendations for the consideration and application of current (and potentially new) metrics in Research Evaluation.
Giovanna Colizza - One of the best experts on this subject based on the ideXlab platform.
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evaluating scientific Research in italy the 2004 10 Research Evaluation exercise
Research Evaluation, 2015Co-Authors: Alessio Ancaiani, Alberto Anfossi, Anna Barbara, Sergio Benedetto, Brigida Blasi, Valentina Carletti, Tindaro Cicero, Alberto Ciolfi, Filippo Costa, Giovanna ColizzaAbstract:The Italian Research Evaluation assessment for the period 2004–10 (VQR 2004–10) has analyzed almost 185,000 articles, books, patents, and other scientific outcomes submitted for Evaluation by Italian universities and other public Research bodies. This article describes the main features of this exercise, introducing its legal framework and the criteria used for Evaluation. The innovative methodology that has been used for Evaluation, based on a combination of peer review and bibliometric methods, is discussed and indicators for assessing the quality of participating Research bodies are derived accordingly. The article also presents the main results obtained at the University level, trying to understand the existing relationship among Research quality and University characteristics such as location, dimension, age, scientific specialization, and funding.
