1,721,006 research outputs found
Introducing scientometrics in the CORE Repositories Dashboard: a proposal
Presentation given by Petr Knoth and Nancy Pontika (both of the Open University) at RepoFringe 2016 as part of the 24x7 'Making a Difference with Data' session
8.2 Developing Infrastructure to Support Closer Collaboration of Aggregators with Open Repositories
Over the past five years, the amount of open access content stored in repositories has increased dramatically. This has created new technical and organisational challenges for bringing this content together. The CORE (COnnecting REpositories) project has been dealing with these challenges by aggregating and enriching content from hundreds of open access repositories, increasing the discoverability and reusability of millions of open access outputs via its own search engine and API. The CORE project is now facing the challenge of how to enable content providers to manage content in the aggregation and control the harvesting process as repository managers and library directors often wish to know the details of the content harvested from their repositories and keep certain level of control over it.
In order to improve the quality and transparency of the aggregation process and create a two-way collaboration between the CORE project and the providers of this content, we propose the CORE Dashboard. The aim of this dashboard is to provide an online interface for repository providers offering information about: the content harvested from the repository enabling its management, such as by requesting metadata updates or managing take-down requests, the times and frequency of content harvesting, including all detected technical issues and suggestions for improving the efficiency of harvesting and the quality of metadata, including compliance with existing metadata guidelines, statistics regarding the repository content, such as the distribution of content according to subject fields and types of research outputs, and the comparison of these with the national average.
The benefits of using the CORE Dashboard are:
Increased and simplified collaboration between the aggregator and the content provider.
Better control of the content provider over the harvested content.
Reduction of scepticism and fear of sharing content with other systems.
Improvement of the harvesting process.
Broadening of the open access content discoverability and thus reuse of the open access content where permitted.
The idea of the CORE Dashboard can be generalised to the collaboration of any aggregator with content providers (libraries, archives, etc.). The overall aim is to strike a balance between the ability of aggregators effectively disseminate content while allowing content providers to keep full control over it at all times.
Petr Knoth is a Research Fellow at the Knowledge Media Institute, The Open University. He is interested in research in Natural Language Processing, Information Retrieval, Digital Libraries and Open Science. In 2010, he started the development of the first full-text open access aggregator of research papers called CORE (http://core.ac.uk). Since that time, he has led a team developing more than seven European Commission (EC) funded projects. He has acted as the principal investigator on the EC-funded projects Europeana Cloud, FOSTER and OpenMinTeD, all of which deal with issues related to research publications, such as reliably storing and text-mining them as well as supporting the research publication workflow. He has contributed a number of papers at international conferences and to journals such as COLING, NTCIR, Open Repositories and DLib. He is also the main organiser of the international workshops on mining scientific publications (WOSP 2012, WOSP 2013 and WOSP 2014).</p
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
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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