1,720,957 research outputs found
Estimating the extent of the effects of data quality through observations
Existing data quality works have so far focused on the computation of many data characteristics as a mean of quantifying different quality dimensions, like freshness, consistency, accuracy, or completeness, that are all defined about some ideal (clean) dataset. We claim that this approach falls short in providing a full specification of the quality of the data since it does not take into consideration the task for which the data is to be used, neither any future instances of the dataset. We argue that apart from the difference from the clean dataset, it is equally important to know the degree to which such difference affects the results of the task at hand. Thus, we extend the existing data quality definition to include that degree. Our approach, not only allows data quality to be considered in the context of the intended task, but can also provide useful information even in the absence of the clean dataset, and proffer an understanding of the effect of data quality in future dataset instances. We describe a system and its implementation that computes this extended form of data quality through a principled approach of systematic noise generation and task result evaluation. We perform numerous experiments illustrating the effectiveness of the approach and how this allows contextualizing traditional data quality measures.</p
The F4U system for understanding the effects of data quality
We demonstrate a system that enables a data-centric approach in understanding data quality. Instead of directly quantifying data quality as traditionally done, it disrupts the quality of the dataset and monitors the deviations in the output of an analytic task at hand. It computes the correlation factor between the disruption and the deviation and uses it as the quality metric. This allows users to understand not only the quality of their dataset but also the effect that present and future quality issues have to the intended analytic tasks. This is a novel data-centric approach aimed at complementing existing solutions. On top of the new information that it provides, and in contrast to existing techniques of data quality, it neither requires knowledge of the clean datasets, nor of the constraints on which the data should comply.</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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