1,721,067 research outputs found
Disciplinary Profiles and Performance of Research Systems: a World Comparison at the Country level
No full textTowards Concordance Tables of Different Subject Classification Systems. A literature review with policy implications
No full textStudying the heterogeneity of European higher education institutions
Get PDFThe heterogeneity of the Higher Education (HE) Institutions is one of the main critical issues in the assessment of their performance. This paper adopts a multi-level and multi-dimensional perspective, combining national (macro) and institution (micro) level data, and measuring both research and teaching activity, using performance indicators derived from the European Tertiary Education Register, CWTS Leiden Ranking, and PATSTAT patent database. Clustering and efficiency analysis are combined to characterize the heterogeneity of national HE systems in European countries, and reveal the potential of using micro level data to characterize national level performance. Large differences are observed between the European countries, partially due to the fact that they are in different phases of their scientific (and economic) development and of the re-structuring of their HE systems. Evidence is found that universities specializing either in teaching or in research tend to have a higher efficiency than those institutions balancing research and teaching. Tradeoffs are observed between undergraduate and post-graduate activities, and a “Matthew cumulative effect” seems in place on the European institutions analysed: high quality research is able to attract external funds that stimulate innovative and patenting activities that in turn are self-reinforcing to the scientific activities. The results reveal once more the limits and dangers of one-dimensional approaches to the performance of HEIs
A scaling approach to tackle the heterogeneity of heis
Get PDFThe assessment of the performance of Higher Education Institutions (HEIs) at the micro (institutional), meso (regional) and macro (country) level is an important and recurrent question in the higher education’s policy debate. The modernisation agenda for Higher Education in Europe (European Commission, 2016) identifies the relevance of creating effective governance and funding mechanisms for higher education among the five key priorities for this sector. It is underlined the importance to ensure greater flexibility and autonomy for institutions to specialise more easily, promoting better educational and research performance while fostering excellence within higher education systems. Different models of governance (Agasisti and Catalano, 2006; Capano et al. 2015) are applied by policy makers trying to improve the systemic performance of Higher Education. However, the analysis of the performance of HE systems is far from being easy to deal with. One of the main critical issue to address properly the assessment of the performance, in a multi-level (systemic) perspective, is the consideration of the heterogeneity of the HEIs involved. Among the heterogeneity factors of HEIs, the disciplinary specialization or subject mix is considered one of the most relevant (López-Illescas et al. 2011, Daraio et al. 2011). Recently, Bonaccorsi et al. (2017) extend the results of Ruocco and Daraio (2013) to the evaluation of bibliometric indicators of Social Sciences and Humanities (SSH) and propose a scaling approach as a tool for indirect qualitative-quantitative comparative analysis across heterogeneous disciplines. In this paper we (i) demonstrate that the distributions of total enrolled students (ENR STUDENTS) of European HEIs in four main fields of education (ENG, MED, NAT, SSH) follow a Log-Normal master curve, (ii) estimate the scaling factors that work like rates of substitution to compare the education production across different fields on a common ground and (iii) propose to use the estimated scale factors to make appropriate normalizations before running systemic performance assessment and comparison
Novel Approaches to the Development and Application of Informetric and Scientometric Tools Special Issue of Journal of Data and Information Science on ISSI2019 Conference-Part II
Get PDFThis is the second part of the Journal of Data and Information Science (JDIS)
Special Issue on ISSI 2019, the 17th International Conference on Scientometrics
and Informetrics (ISSI2019) held in Rome, on 2–5 September 2019 and includes
additional 10 selected posters presented during the conference largely expanded by
the authors afterwards.
The papers included in this volume have been grouped in three broad themes:
- Indicators & Databases (4 papers);
- Social context, Innovation, and Policy (3 papers);
- Application domains (3 papers)
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Characterizing the heterogeneity of European higher education institutions combining cluster and efficiency analyses
Get PDFThe heterogeneity of the Higher Education (HE) Institutions is one of the main critical issues to address properly the assessment of systemic performance. We adopt a multi-level perspective by combining national (macro) and institution (micro) level data and analyses. We combine clustering and efficiency analysis to characterize the heterogeneity of HE systems (at the national level) exploiting micro level data. We show also the potential of using micro level data to characterize national level performance. The obtained results may provide a quantitative support to identify the higher education institutions that need to be further investigated through qualitative case studies in political science analyses of HE systems
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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