A detailed review of the education sector in Australia as in the data provided by the 2006 edition of the OECD's annual publication, 'Education at a Glance' is presented. While the data has shown that in almost all OECD countries educational attainment levels are on the rise, with countries showing impressive gains in university qualifications, it also reveals that a large of share of young people still do not complete secondary school, which remains a baseline for successful entry into the labour market.

/pdf/education-at-a-glance-m5vl7o68j5.pdf

Education at a Glance

本文对国际科学计量学杂志《Ｓｃｉｅｎｔｏｍｅｔｒｉｃｓ》１９７９－１９９１年的研究论文内容、栏目、作者及国别和编委及国别作了计量分析，揭示出科学计量学研究的重点、活动的中心及发展趋势，说明了学科带头人在发展科学计量学这门新兴学科中的作用。

国际刊物《Scientometrics》文献计量研究

Thank you for downloading mathematical methods of statistics. Maybe you have knowledge that, people have search numerous times for their favorite novels like this mathematical methods of statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some infectious virus inside their laptop. mathematical methods of statistics is available in our book collection an online access to it is set as public so you can download it instantly. Our books collection spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the mathematical methods of statistics is universally compatible with any devices to read.

Mathematical Methods Of Statistics

A review of the literature on citation impact indicators

This paper addresses the scope for more integrated general analysis of diversity in science, technology and society. It proposes a framework recognizing three necessary but individually insufficient properties of diversity. Based on 10 quality criteria, it suggests a general quantitative non-parametric diversity heuristic. This allows the systematic exploration of diversity under different perspectives, including divergent conceptions of relevant attributes and contrasting weightings on different diversity properties. It is shown how this heuristic may be used to explore different possible trade-offs between diversity and other aspects of interest, including portfolio interactions. The resulting approach offers a way to be more systematic and transparent in the treatment of scientific and technological diversity in a range of fields, including conservation management, research governance, energy policy and sustainable innovation.

A General Framework for Analysing Diversity in Science, Technology and Society

The incidence of extramural collaboration in academic research activities is increasing as a result of various factors. These factors include policy measures aimed at fostering partnership and networking among the various components of the research system, policies which are in turn justified by the idea that knowledge sharing could increase the effectiveness of the system. Over the last two decades, the scientific community has also stepped up activities to assess the actual impact of collaboration intensity on the performance of research systems. This study draws on a number of empirical analyses, with the intention of measuring the effects of extramural collaboration on research performance and, indirectly, verifying the legitimacy of policies that support this type of collaboration. The analysis focuses on the Italian academic research system. The aim of the work is to assess the level of correlation, at institutional level, between scientific productivity and collaboration intensity as a whole, both internationally and with private organizations. This will be carried out using a bibliometric type of approach, which equates collaboration with the co-authorship of scientific publications.

/pdf/research-collaboration-and-productivity-is-there-correlation-5dtaed8fdp.pdf

Research collaboration and productivity: is there correlation?

Productivity is the quintessential indicator of efficiency in any production system It seems it has become a norm in bibliometrics to define research productivity as the number of publications per researcher, distinguishing it from impact In this work we operationalize the economic concept of productivity for the specific context of research activity and show the limits of the commonly accepted definition We propose then a measurable form of research productivity through the indicator "Fractional Scientific Strength (FSS)", in keeping with the microeconomic theory of production We present the methodology for measure of FSS at various levels of analysis: individual, field, discipline, department, institution, region and nation Finally, we compare the ranking lists of Italian universities by the two definitions of research productivity

How do you define and measure research productivity

National exercises for the evaluation of research activity by universities are becoming regular practice in ever more countries These exercises have mainly been conducted through the application of peer-review methods Bibliometrics has not been able to offer a valid large-scale alternative because of almost overwhelming difficulties in identifying the true author of each publication We will address this problem by presenting a heuristic approach to author name disambiguation in bibliometric datasets for large-scale research assessments The application proposed concerns the Italian university system, comprising 80 universities and a research staff of over 60,000 scientists The key advantage of the proposed approach is the ease of implementation The algorithms are of practical application and have considerably better scalability and expandability properties than state-of-the-art unsupervised approaches Moreover, the performance in terms of precision and recall, which can be further improved, seems thoroughly adequate for the typical needs of large-scale bibliometric research assessments © 2011 Wiley Periodicals, Inc

A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments

The literature dedicated to the analysis of the difference in research productivity between the sexes tends to agree in indicating better performance for men. Through bibliometric examination of the entire population of research personnel working in the scientific-technological disciplines of Italian university system, this study confirms the presence of significant differences in productivity between men and women. The differences are, however, smaller than reported in a large part of the literature, confirming an ongoing tendency towards decline, and are also seen as more noticeable for quantitative performance indicators than other indicators. The gap between the sexes shows significant sectorial differences. In spite of the generally better performance of men, there are scientific sectors in which the performance of women does not prove to be inferior.

Giovanni Abramo

Papers

Research collaboration and productivity: is there correlation?

How do you define and measure research productivity

A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments

Research collaboration and productivity: is there correlation?

Gender differences in research productivity: A bibliometric analysis of the Italian academic system