1,720,962 research outputs found
Universities and Open data, the challenge has just begun
No full textOpen data are spreading rapidly in public institutions (PI) as a means for promoting their effectiveness and efficiency and to enhance transparency, public participation, trust and cooperation. PI provide citizens with data and information regarding internal processes and policies, then data have to be easily accessible, understandable and usable. As to participation, shared decisional processes improve the quality of the political-administrative choices. On one side, PI gather proposals on citizens needs and, on the other side, build a cooperative network among themselves. Governance becomes a shared process which meets stakeholders’ expectations. These are the pillars of Open Government, which has proved to be the most powerful way to face the recent economic crisis, turned into a confidence crisis towards Politics and institutions. The “openness” approach can spread these kinds of innovation: i)institutional, by rethinking the public intervention in terms of real usefulness for citizens/businesses; ii)organizational, based on transparency, organizational and individual evaluation, social responsibility and accounting; iii) technological, by creating a network of interconnected administrations, supported by modern technologies; iv)cultural, with the adoption of a participatory model, in which the decision-making process raises from the collaboration between institutions and individuals. In this scenario, data are crucial to provide citizens with the necessary knowledge tools to make their decisions or evaluate the impact of public ones. In a broader setting, the economic system can develop services that, based on public information, can benefit all the community. Public organizations collect a wide range of different data, which are particularly relevant as quantity and reliability. Universities received an important acceleration towards the adoption of ‘innovative’ IT procedures by the spread of the Covid19 pandemic, but, in addition to remote learning, they publish open data on institutional information: enrolled students, courses, departments, staff. Anyway, further information are more interesting for stakeholders: they would like to know if their investment in higher education will be rewarded by a successful university performance, by an adequate teaching or by effective possibilities of quickly entering the job market. Providing open data on these issues could be effective to compare the quality of universities or the potential value of a degree. Open data can lead to a further qualitative leap in the academic world, towards smart universities dealing with smart students, aware and motivated by a complete knowledge and participation in the institutions intended for them. Open data have a huge potential yet to be fullyexploited
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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