Use of open data to analyze the publication of articles in scientific events

Objective. This article has analyzed the publications of articles in scientific events using open data from the Lattes Platform. Design/Methodology/Approach. The LattesDataXplorer tool was used to extract curricular data from the Lattes Platform. The selection stage consisted of verifying which curricula had works published in scientific events. In the treatment stage, a characterization of the articles was carried out, thus allowing the analysis of articles published in scientific events. Results/Discussion. It was possible to carry out some characterizations such as temporal analysis, analysis by a large area of expertise, and which articles use persistent identifiers. The temporal analysis made it possible to verify how many articles were published per year. Through the analysis by a large area of action, the individuals with the highest and lowest rate of publication in annals of events were identified. Approximately 3% of articles report the persistent identifier (DOI). Conclusions. The peak of publications is in 2011, afterwards, there was a significant drop. Individuals from Health Sciences have a higher rate of publication in event proceedings, while individuals from the Exact and Earth Sciences have a lower volume of publications. Only 30,936 of the articles have a persistent identifier, but individuals from the Exact and Earth Sciences (30.68%) are the ones who use persistent identifiers the most. Originality/Value. From data extracted from the Lattes Platform, the results of original research that seeks to characterize Brazilian scientific production utilizing events are presented.

Research data management: a bibliometric and altmetric study based on Dimensions

Objective. This study aims to analyze the scientific production on research data management indexed in the Dimensions database. Design/Methodology/Approach. Using the term “research data management” in the Dimensions database, 677 articles were retrieved and analyzed employing bibliometric and altmetric indicators. The Altmetrics.com system was used to collect data from alternative virtual sources to measure the online attention received by the retrieved articles. Bibliometric networks from journals bibliographic coupling and keywords co-occurrence were generated using the VOSviewer software. Results/Discussion. Growth in scientific production over the period 1970-2021 was observed. The countries/regions with the highest rates of publications were the USA, Germany, and the United Kingdom. Among the most productive authors were Andrew Martin Cox, Stephen Pinfield, Marta Teperek, Mary Anne Kennan, and Amanda L. Whitmire. The most productive journals were the International Journal of Digital Curation, Journal of eScience Librarianship, and Data Science Journal, while the most representative research areas were Information and Computing Sciences, Information Systems, and Library and Information Studies. Conclusions. The multidisciplinarity in research data management was demonstrated by publications occurring in different fields of research, such as Information and Computing Sciences, Information Systems, Library and Information Studies, Medical and Health Sciences, and History and Archeology. About 60% of the publications had at least one citation, with a total of 3,598 citations found, featuring a growing academic impact. Originality/Value. This bibliometric and altmetric study allowed the analysis of the literature on research data management. The theme was investigated in the Dimensions database and analyzed using productivity, impact, and online attention indicators.

Academic mobility of doctoral students in Brazil: An analysis based on Lattes Platform

Objective. In this article, the academic mobility of Brazilian doctoral students moving from their home cities to other Brazilian cities including other countries is examined. Design/Methodology/Approach. The LattesDataXplorer tool was used to extract curriculum data from the Lattes Platform. 308,317 resumes were collected in May 2019, since then the data have been filtered, obtaining relevant data for the research. After extracting the data, they were enriched with the integration of other data sources, thus enabling the characterization of bibliometric networks for the analyses. Results/Discussion. It was possible to measure distances traveled by Brazilian doctors throughout their academic training, as well as to point out the cities, states, and countries whose doctors most meet in the academic journey and the relationships between these locations. Thus, making it possible to obtain a portrait of how the Brazilian scientific exodus occurs. In general, more than 90% of curricula have information on the academic background at each level of education. The average distance of 291 km between birth and place of formation at the graduation level is strongly influenced by outliers. Individuals choose to travel shorter distances throughout the academic training process, being the geographic location a strong influence on the migratory process for training. Conclusions. The United States represents the country where individuals choose to move the most. Regarding international migration, there is more preference for European countries than South American ones. When it comes to intra-regional migration, students prefer those states where the most relevant universities are located. Originality/Value. The article presents the results of original research focusing on the Brazilian scientific community. Distances performed by doctoral students throughout their academic trajectory are measured, as well as the main locations where they tend to move.

Mapping the thematic evolution in Communication over the first two decades from the 20th century: A longitudinal approach

This study offers an overview of the thematic structure in Communication during the first two decades of the 20th century, 2001-2010 and 2011-2020. The included work mapped author keywords and keywords plus of citable articles published in the Journal Citation Reports-2019 edition. A longitudinal perspective was employed to visualize the thematic evolution. Four predominant thematic areas were evidenced in both periods: (1) Speech and Language, (2) Commercial Communication, (3) Health Communication, and (4) Organizational Communication. There were four topics reflecting the formation of substantial research areas during the second decade, such as (1) Science Communication, (2) Scholarly Publishing, (3) Mental Health and Interpersonal Relationships, and (4) Crime and Violence. In general, from the first to the second decade, the technological dimension ceased to be predominant, and instead, there was a more significant presence of themes that responded to a socio-psychological dimension.

Leveraging latent persistency in the United States patent and trademark applications to gain insight into the evolution of an innovation-driven economy

Objective: An understanding of when one or more external factors may influence the evolution of innovation tracking indices (such as US patent and trademark applications (PTA)) is an important aspect of examining economic progress/regress. Using exploratory statistics, the analysis uses a novel tool to leverage the long-range dependency (LRD) intrinsic to PTA to resolve when such factor(s) may have caused significant disruptions in the evolution of the indices, and thus give insight into substantive economic growth dynamics. Approach: This paper explores the use of the Chronological Hurst Exponent (CHE) to explore the LRD using overlapping time windows to quantify long-memory dynamics in the monthly PTA time-series spanning 1977 to 2016. Results/Discussion: The CHE is found to increase in a clear S-curve pattern, achieving persistence (H~1) from non-persistence (H~0.5). For patents, the inflection occurred over a span of 10 years (1980-1990), while it was much sharper (3 years) for trademarks (1977-1980). Conclusions/Originality/Value: This analysis suggests (in part) that the rapid augmentation in R&D expenditure and the introduction of the various patent directed policy acts (e.g., Bayh-Dole, Stevenson-Wydler) are the key impetuses behind persistency, latent in PTA. The post-1990’s exogenic factors seem to be simply maintaining the high degree and consistency of the persistency metric. These findings suggest investigators should consider latent persistency when using these data and the CHE may be an important tool to investigate the impact of substantive exogenous variables on growth dynamics.

A roadmap toward the automatic composition of systematic literature reviews

Objective. This paper presents an overview of existing artificial intelligence tools to produce systematic literature reviews. Furthermore, we propose a general framework resulting from combining these techniques to highlight the challenges and possibilities currently existing in this research area. Design/Methodology/Approach. We undertook a scoping review on the systematic literature review steps to automate them via computational techniques. Results/Discussion. The process of creating a literature review is both creative and technical. The technical part of this process is liable to automation. Based on the literature, we chose to divide this technical part into four steps: searching, screening, extraction, and synthesis. For each one of these steps, we presented practical artificial intelligence techniques to carry them out. In addition, we presented the obstacles encountered in the application of each technique. Conclusion. We proposed a framework for automatically creating systematic literature reviews by combining and placing existing techniques in stages where they possess the greatest potential to be useful. Despite still lacking practical assessment in different areas of knowledge, this proposal indicates ways with the potential to reduce the time-consuming and repetitive work embedded in the systematic literature review process. Originality/Value. The paper presents the current possibilities for automating systematic literature reviews and how they can work together to reduce researchers’ operational workload.

Research on Information Sciences in Cuba: Flows of knowledge during the period 2005-20019

Objective. To characterize the Cuban research on Information Sciences, and to analyze the flows of knowledge between its intellectual base and the research fronts influenced by Cuban researchers. Design/Methodology/Approach. The subject category “Information Science and Library Science” from Web of Science, during the period 2005-2019, was studied. The intellectual base was determined by author co-citation analysis. Citing articles of Cuban authors were analyzed by bibliographic coupling and term co-occurrence techniques. A documental analysis of bibliometric studies on the discipline in Cuba was developed. Results/Discussion. The diversification of the topics discussed overtime was verified, which have been in correspondence with social needs. A sustained increase in scientific production was observed, based on collaboration and intense postgraduate training. A greater number of journals were used to disseminate the results, which were cited from multiple knowledge areas. Conclusions. The communicating vessels between the intellectual base and influenced research fronts evidenced the appropriation of foreign and Cuban referents in the disciplinary constructive process, their growing influence on the global scientific community, and the configuration of a cognitive space of disciplinary confluence between Library Science, Information Science, Archival Science, and Social Communication, closely connected with the thematic axes that lead global research. Originality/Value. An exhaustive documentary review, combined with bibliometric techniques, allowed the thematic characterization and analysis of the evolution of Cuban informational thinking during the last 15 years (2005-2019), in relation to its regional and global context.

Investigación sobre bibliotecología y ciencia de la información en la Argentina durante las primeras décadas del siglo XXI.

El propósito del presente trabajo es describir y analizar las líneas de investigación en ciencia de la información desarrolladas en los marcos institucionales de las universidades que dictan la carrera de bibliotecología, archivología y museología en la Argentina. Para cumplir con dicho propósito, se relevaron los documentos que han sido presentados en los encuentros de docentes e investigadores de las escuelas del Mercosur, así como estudios anteriores que abordaban la problemática. Además, se sistematizaron las producciones de los docentes investigadores del campo disciplinar, utilizando la aplicación Publish or Perish, tomando como fuente a Google académico. A partir de los resultados presentados, se observa cómo el campo temático se va consolidando, tanto desde los aportes para el fortalecimiento conceptual y metodológico de la disciplina, como desde las indagaciones que pretenden resolver cuestiones que se suscitan en el campo profesional de bibliotecas, archivos, museos y otras unidades. El estudio realizado es original ya que no existía un relevamiento de estas características, combinando además dos metodologías como son el análisis documental y la bibliometría para desentrañar un entramado de investigadores, temas y producciones no siempre sencillo de captar y abordar. Entre los hallazgos, se destaca la existencia de ejes de trabajo que combinan temáticas tratadas a nivel internacional en la materia, así como áreas de especialización enfocadas en realidades locales. También se demuestra que el desarrollo y la productividad en la investigación se encuentran concentradas en pocas escuelas. Finalmente, se aborda la incipiente constitución de la instancia de posgrado a nivel de especialización, maestría y doctorado que con el tiempo llegará a contribuir a ampliar el abanico de investigaciones realizadas en las universidades que desarrollan estos tramos formativos.