1,720,986 research outputs found
Why arts and humanities publications get retracted: a topic modeling analysis of the retraction notices
No full textHow to structure citations data and bibliographic metadata in the OpenCitations accepted format
No full textSlides of the presentation given by Arcangelo Massari at the ULITE workshop on 24 June 2022.
The OpenCitations organization is working on ingesting citation data and bibliographic metadata directly provided by the community (e.g., scholars and publishers). The aim is to improve the general coverage of open citations, which is still far from being complete, and use the provided metadata to enrich the characterization of the citing and cited entities. This presentation illustrates how the citation data and bibliographic metadata should be structured to comply with the OpenCitations accepted format
The Integration of the Japan Link Center’s Bibliographic Data into OpenCitations: The production of bibliographic and citation data structured according to the OpenCitations Data Model, originating from an Anglo-Japanese dataset
Full text linkIn this article, we present OpenCitations’ main data collections: the unified index of citation data (OpenCitations Index), and the bibliographic data corpus (OpenCitations Meta) in view of the integration of a new dataset provided by the Japan Link Center (JaLC). Based on a computational analysis of the titles of the publications performed in October 2023, 8.6% of the bibliographic metadata stored in OpenCitations Meta are not in English. Nevertheless, the ingestion of an Anglo-Japanese dataset represents the first opportunity to test the soundness of a language-agnostic metadata crosswalk process for collecting data from multilingual sources, aiming to preserve bibliodiversity and to minimize information loss considering the constraints imposed by the OpenCitations data model, which does not allow the acceptance of multiple values in different translations for the same metadata field. The JaLC dataset is set to join OpenCitations’ collections in November 2023, and it will be made available in RDF, CSV, and SCHOLIX formats. Data will be produced using open-source software and provided under a CC0 license via API services, web browsing interfaces, Figshare data dumps, and SPARQL endpoints, ensuring high interoperability, reuse, and semantic exploitation
The application of Semantic Publishing technologies in the Science of Science research domain for the Humanities field
No full textSOS (Science of Science) purpose is to quantify and predict scientific research and its resulting outcomes. The main purpose of my work is the application of this field of study into the Humanities domain, which has gained less attention in the literature compared to the sciences. Bibliometric analysis and social/networking interactions should be taken into consideration. Through this work, I would like to mainly focus on one important macro aspect concerning scholarly publications in the Humanities: Citations. Regarding this, I would like to focus on these two research questions:
(a) What are the common leading patterns, from a syntactic point of view, used by authors when citing and creating the bibliographic references? e.g. a quantitative analysis of citations in accordance with the sections in which they have been used. Detection, extraction, and classification of references are all thematics covered by this question.
(b) What are the reasons, i.e. the citation function, to cite other works and what are the most important ones?
Finally, I would like to turn the information and knowledge gained from the above questions into a practical formation. The idea is to create tools and design models which could highlight meaningful features/metrics, and outlook information on Humanities research from different perspectives
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Enabling Portability and Reusability of Open Science Infrastructures
Full text linkThis paper presents a methodology for designing a containerized and
distributed open science infrastructure to simplify its reusability,
replicability, and portability in different environments. The methodology is
depicted in a step-by-step schema based on four main phases: (1) Analysis, (2)
Design, (3) Definition, and (4) Managing and provisioning. We accompany the
description of each step with existing technologies and concrete examples of
application.Comment: 8 pages, 1 PostScript figure, submitted to TPDL 202
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
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