1,720,967 research outputs found
Crosswalks, mapping tables, and normalisation rules: when we don’t even share the same vocabulary for authority control
Institutional repositories typically make it easier for users to type in new metadata than to look up a standard vocabulary. To provide browse functionality, repository administrators often create ad hoc systems of authority control.
Integrating with external systems both highlights and compounds the problems with this approach. An external system harvesting from multiple repositories might deduplicate records, or filter results based on access rights: difficult when each repository has a different local standard. On the other end of the process, repositories sourcing records from external systems must carefully ‘map’ key fields and terms. Even then, local authority control is likely to suffer when confronted with inconsistent capitalisation of a standard subject vocabulary or wildly varying forms of author names.
This presentation will take as a case study the Lincoln University flow of metadata from research information management system to institutional repository to library discovery system and open repository aggregators. It will cover challenges we encountered including author names, ANZSRC keywords, item types, departments, and Creative Commons licence names, and offer practical solutions towards improving how our systems talk to each other
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
Students' natural use of language for academic library concepts
Library jargon is a barrier to users in their interactions with library staff and systems. Comprehension testing has shown that many students do not understand common library jargon. Usability testing and preference testing have successfully sought user feedback in order to develop more user-friendly interfaces.
In this study into language preferences, a questionnaire was based on 20 concepts taken from New Zealand university library websites. Participants were asked to label these concepts with terms of their own choosing. New Zealand university summer school coordinators were asked to forward a URL for the web-based questionnaire to students in their classes. Fifty valid responses were received.
Concepts that were central to students' library experiences were labelled with as few as 4 different terms, while less central concepts were labelled with more than 30. Library jargon was an important influence on students' choice of terminology. For many concepts, however, students used terms that had not been found on library websites.
Further research is recommended into a broader range of concepts, and into whether user-derived terminology outperforms library jargon in whole-library context usability testing
Dispelling the Myths Behind First-author Citation Counts
We 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
We 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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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