Importancia de los referenciadores bibliográficos en la gestión de la información científica en tesistas universitarios

Gestionar la información científica en el proceso investigativo es un gran desafío para los tesistas universitarios debido a la dificultad de sistematizar y estructurar el exceso de información disponible en diferentes fuentes digitales o físicas. El objetivo del estudio fue analizar la importancia de los referenciadores bibliográficos como herramienta tecnológica para la gestión de la información científica en tesistas universitarios. Se llevó a cabo una revisión bibliográfica sistemática realizando búsquedas en bases de datos electrónicas de artículos científicos publicados en revistas indexadas a Latindex Catálogo, Scielo y Scopus entre los años 2016 y 2020. Los resultados de la revisión describen las características, funcionalidades, aspectos y estudios principales sobre los beneficios que brindan los referenciadores bibliográficos para gestionar la información científica. Concluimos que funciones como la organización de la información, citación y referenciación bibliográfica y colaboración entre investigadores proporcionados por los referenciadores bibliográficos, constituyen recursos importantes para los tesistas universitarios. Managing scientific information in the research process is a great challenge for university thesis students due to the difficulty of systematizing and structuring the excess of information available in different digital or physical sources. The objective of the study was to analyze the importance of reference manager as a technological tool for the management of scientific information in university theses students. We carried out a systematic bibliographic review by searching electronic databases of scientific articles published in journals indexed to Latindex Catalog, Scielo and Scopus between the years 2016 and 2020. The results of the review describe the characteristics, functionalities, aspects and studies main ones on the benefits that reference manager provide to manage scientific information. We conclude that functions such as the organization of information, bibliographic citation and referencing, and collaboration between researchers provided by reference manager, constitute important resources for university thesis students.

Catalogue of the types of Psocoptera (Insecta: Psocodea) destroyed in the fire of 2.IX.2018, at the National Museum of Brazil, Rio de Janeiro (MNRJ), BRAZIL

A catalogue of type specimens of Psocoptera (Insecta: Psocodea) destroyed in the fire of 2.IX.2018 at the National Museum of Rio de Janeiro (MNRJ) is presented. 20 holotypes and six paratypes, included in four families of Psocoptera (Cladiopsocidae Smithers, 1972; Dolabellopsocidae Eertmoed, 1973; Epipsocidae Pearman, 1936 and Ptiloneuridae Roesler, 1940), all described by New (1972) and deposited in the MNRJ were destroyed during the fire. The taxa are presented alphabetically by suborders, infraorders, families, and genera, followed by species (updated to the valid name), bibliographic citation, type category, description of the type condition with collection number and method of preservation. When necessary, comments are added.

Analysis of In text Citation Patterns in Local Journals for Ranking Scientific Documents

In-text citations have been put forward as a new way to overcome the bias inherent in bibliographic citation analysis. In-text citation patterns have been used as the basis for citation analysis previously, but all the evidence has come from international journals. However, many countries have more local journals than international journals. This paper uses in-text citation analysis to examine local journals in Indonesia. The paper aims to determine the location-based citation pattern in the text and its effect on the articles’ and authors’ rankings. We collected articles from seven food science journals and then parsed these articles to detect the citations and their locations within the text. Pre-processing included normalizing section names, developing a database, and matching citation identities. The rankings were based on sections and then evaluated using the Spearman rank correlation in the final step. The results revealed that Indonesian journals did not exhibit the same patterns as international journals. There were differences in the section locations of the highest percentages of citations, the distributions of publication years, and the ranking methods. The correlations between sections indicated that the citations in the results and discussion section should be give the highest weight, followed by those in the method section, while the lowest weight should be assigned to citations in the introduction. These results need to be strengthened with further research using more extensive data and fields. Other findings, such as nonstandard and inconsistent citations, made developing an automatic citation detection system for local journals challenging.

An approach for bibliographic citation sentiment analysis using deep learning

Sentiment analysis of scientific citations is a novel and remarkable research area. Most of the work on opinion or sentiment analysis has been suggested on social platforms such as Blogs, Twitter, and Facebook. Nevertheless, when it comes to recognizing sentiments from scientific citation papers, investigators used to face difficulties due to the implied and unseen natures of sentiments or opinions. As the citation references are reflected implicitly positive in opinion, famous ranking and indexing prototypes frequently disregard the sentiment existence while citing. Hence, in the proposed framework the paper emphasizes the issue of classifying positive and negative polarity of reference sentiments in scientific research papers. First, the paper scraps the PDF articles from arxiv.org under the computer science group consisting of articles that are comprised of ‘autism’ in their title, then the paper extracted cited references and assigns polarity scores to each cited reference. The paper uses a supervised classifier with a combination of significant feature sets and compared the performance of the models. Experimental results show that a combined CNN-LSTM deep neural network model results in 85% of accuracy while traditional models result in less accuracy.

Aligning GBIF and the Atlas of Living Australia

The Global Biodiversity Information Facility (GBIF) and the Atlas of Living Australia (ALA) are two interconnected leading infrastructures serving the biodiversity community. Recognising that significant overlap exists in the function of the systems run by both organisations, and that advancement in technology allows GBIF to offer more functionality, we have initiated a process to align these infrastructures. Such a move is expected to bring the benefits of consistent data handling, improved bibliographic citation tracking, coordinated deployment of new features across the entire data publishing community, better reuse of modules and an overall reduction in cost of development, deployment and operation. This year, work has commenced to align these two infrastructures, focussing initially on data ingestion pipelines. The GBIF and ALA teams are collaborating closely, working on the same codebase, developing common working practices and agreeing on tools and coding standards. This focus on collaboration will lead to a defined model for the Living Atlas community to provide contributions. This work will also further the efforts to hand ownership of core ALA systems to the Living Atlas community and pave the way for the Living Atlas community to transition to the adoption of GBIF systems. Later this year, efforts will move towards use of a common registry for organisations, collections, datasets and associated metadata, which will reduce the effort spent in curating content, while also improving consistency by removing the need for synchronisation.

Patronymic particle and bibliographic citation

We offer a review of the correct way of writing the names of authors with a patronymic particle in scientific papers, bibliographic lists and indexes.

Type specimens of true bugs (Hemiptera: Heteroptera) housed in the Museu de Zoologia da Universidade de São Paulo, Brazil

This paper provides a record of the type specimens of Heteroptera (Insecta: Hemiptera) housed in the Museu de Zoologia da Universidade de São Paulo, Brazil (MZUSP), with information on 65 primary types and 316 secondary types. These type specimens represent 116 nominal species, currently classified in five infraorders and 14 families. The taxa are presented alphabetically, followed by bibliographic citation, type status, preservation method, collection data, and taxonomic remarks when appropriate.

Catalogue of Psocoptera (Insecta: Psocodea) types housed in the collection of the Museu de Zoologia da Universidade de São Paulo

A catalogue of type specimens of Psocoptera (Insecta: Psocodea) deposited in the collection of the Museu de Zoologia da Universidade de São Paulo, São Paulo, Brazil, is presented and updated to February, 2019. 45 holotypes and 47 paratypes of 52 species were found, included in the suborders Psocomorpha and Trogiomorpha, and listed in the families Amphipsocidae, Asiopsocidae, Caeciliusidae (infraorder Caeciliusetae); Lachesillidae and Pseudocaeciliidae (infraorder Homilopsocidea); Philotarsidae (infraorder Philotarsetaea) Hemipsocidae, Myopsocidae and Psocidae (infraorder Psocetae); Ptiloneuridae (infraorder Epipsocetae), and Lepidopsocidae (infraorder Atropetae). The taxa are presented alphabetically by suborders, infraorders, families, subfamilies, tribes and genera, followed by species (updated to the valid name), bibliographic citation, type category, description of the type condition with collection number and method of preservation. When necessary, comments are added.