1,720,994 research outputs found
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
RePEc Author Service: An established community-driven PID
This case study is part of a series that has been produced within the study on “Risks and Trust in pursuit of a well-functioning PID infrastructure for research” commissioned by the Knowledge Exchange in July 2021. The main outcome of this work is a report examining the current PID landscape with an emphasis on its risks and trust-related issues.
The case study looks at the RePEc Author Service (RAS), an independent community owned and run DAI service within Economics. Established before ORCID emerged, RAS survives on the basis of low running costs, various sponsors, and volunteers. It demonstrates how community-trust, accepting uncertainty around sustainability and governance, can help a PID service run for a long time.
The report, Building the Plane as We Fly It: the Promise of Persistent Identifiers, and remaining complementary case studies have also been published
Affiliation guidelines at universities – analysis of content and implementation
Institutionelle Richtlinien spielen eine entscheidende Rolle, um Forschende für ein bestimmtes Ziel in die richtige Richtung zu lenken. In den letzten Jahrzehnten haben wissenschaftliche Einrichtungen eine Vielzahl von Leitlinien, wie zur guten wissenschaftlichen Praxis, zur Open-Access-Politik oder zum Umgang mit Forschungsdaten herausgebracht. Am 24. April 2018 verabschiedete die 24. Mitgliederversammlung der Hochschulrektorenkonferenz (HRK) die "Leitlinien zur Nennung von Affiliationen bei Publikationen". Ziel dieser Arbeit ist es, mittels qualitativer Inhaltsanalyse die Inhalte der bisher veröffentlichten Richtlinien an Universitäten zu erfassen und statistisch auszuwerten. Dabei wird die Umsetzung der Leitlinien untersucht und besondere Merkmale der Dokumente werden heraus-gearbeitet. Die Ergebnisse der qualitativen Inhaltsanalyse zeigen, dass die Empfehlungen der HRK größtenteils eingehalten wurden, jedoch oft ein besonderer Schwerpunkt auf den Publikationsprozess gelegt wurde. Um eine möglichst vollständige Berichterstattung der Forschungstätigkeiten zu ermöglichen, werden einige lokale Systeme für die Meldung von Publikationen empfohlen. Datensatz: https://doi.org/10.5281/zenodo.1123068
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
Data Stewardship als Boundary-Work
Data Stewardship wird besonders im Bezug auf die FAIR Data Principles und die Einführung der European Open Science Cloud als Begriff weitläufig verwendet, der im weitesten Sinne alle anfallenden Aktivitäten im Forschungsdatenmanagement beschreibt. Forschungsdatenmanagement kann als soziotechnisches System angesehen werden, in dem unterschiedliche Akteure in Beziehung treten und zusammenwirken müssen. Die Akteure entstammen dabei unterschiedlichen Sozialen Welten, die an ihren Schwellen aufeinandertreffen und Grenzbereiche (Boundaries) bilden. Unterschiedliche Methoden der Grenzarbeit (Boundary-Work) können angewendet werden, um Kollaborationen zwischen Akteursgruppen zu ermöglichen und zu optimieren. In dieser Arbeit wurden Theorien zu Kollaborationen in soziotechnischen Systemen und des Agierens an Boundaries aus der Technik- und Wissenschaftssoziologie auf das Anwendungsfeld des Data Stewardships übertragen. Hierfür wurden begriffliche Entwicklungen und Ausprägungen des Konzeptes Data Stewardship nachvollzogen und bestehende theoretische Ansätze zu Methoden und Aufgaben von Boundary-Work auf die Domäne Data Stewardship angewendet. Diese Arbeit ermöglicht eine neue Perspektive auf Data Stewardship Aktivitäten und die Rolle von Data Stewards. Sie zeigt, dass Data Stewardship als ein Zusammenspiel unterschiedlicher Akteure eingebettet in soziale Geflechte angesehen werden kann. Data Stewards müssen dabei über infrastrukturelle oder forschungsgetriebene Zielsetzungen hinaus vermittelnd auf einer sozialen Ebene agieren und dafür entsprechende Kompetenzen mitbringen
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