1,720,957 research outputs found
Archiving genome data
In view of the increasing amount of data arising from genome research, efficient research data management is becoming increasingly important in this domain. The third, and last, article of the series on "Research data management for genome data" describes the general lifecycle of research data-from their planning via the selection and inclusion into storage facilities to preservation measures and final user access. Archives play an important role in nearly all phases of this life cycle, which renders them an important component of genome data processing. Three exemplary public archives for genome data are introduced: the European Molecular Biology Laboratory (EMBL) databank, the Sequence Read Archive, and the Trace Archive. Owing to the high level of specialization of these institutions, however, additional archives are required that allow more generic data storage or, alternatively, easy extension to other genome data types. A generic concept for such archives will be described and recommendations given for their practical implementation
Management and preservation of genome research data
The ever increasing amount and complexity of newly generated molecular data requires the issue of reliable data management and digital preservation to be addressed in the context of genomic research as well. The named processes are highly relevant for ensuring good scientific practice. The present article introduces general aspects of research data management and digital preservation, and links them to genomic data as an example. In addition, the ensuing scientific, ethical and organizational challenges to genome research will be exposed. In conclusion, transparent governance rules turn out to be most vital for any management and preservation of genomic research to be both practical and sensible
Ethical and legal implications of storing human genomic data
The development of DNA sequencing technologies challenges human genome research considerably regarding its legal and ethical consequences. The deep insights into the genetic endowment of an individual that are already possible today are of potentially great importance for the current and future health status of the individual. Furthermore, genomic data also allow conclusions about the identity and genetic properties of close blood relatives to be drawn. Owing to their inherently personal nature, genomic data require particularly careful treatment. Alongside appropriate informed consent from all participants, central elements of responsible genomic data management within the framework of a research project include anonymization/pseudonymization of the data and separation of data management responsibilities. Additionally and in keeping with good scientific practice, time constraints and regulations pertaining to the retention of data must be adhered to. These aspects will be highlighted in the present article and discussed in terms of their implementation into scientific practice
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
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