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Copyright of Ciência da Informação is the property of Instituto Brasileiro de Informacao em Ciencia e Tecnologia (IBICT) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ciência da Informação is the property of Instituto Brasileiro de Informacao em Ciencia e Tecnologia (IBICT) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Interamericana de Bibliotecologia is the property of Universidad de Antioquia, Escuela Interamericana de Bibliotecologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Palabra Clave (1666-2938) is the property of Universidad Nacional de La Plata and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

INTRODUCTION: Artificial intelligence (AI) is a novel type of library technology. AI technologies and the needs of data librarians are hybrid and symbiotic, because academic libraries must insert AI technologies into their information and data services. Library services need AI to interpret the context of big data. OBJECTIVES: In this context, we explore the use of the OpenAI Codex, a deep learning model trained on Python code from repositories, to generate code scripts for data librarians. This investigation examines the practices, models, and methodologies for obtaining code script insights from complex code environments linked to AI GPT technologies. METHODS: The proposed AI-powered method aims to assist data librarians in creating code scripts using Python libraries and plugins such as the integrated development environment PyCharm, with additional support from the Machinet AI and Bito AI plugins. The process involves collaboration between the data librarian and the AI agent, with the librarian providing a natural language description of the programming problem and the OpenAI Codex generating the solution code in Python. RESULTS: Five specific web-scraping problems are presented. The scripts demonstrate how to extract data, calculate metrics, and write the results to files. CONCLUSION: Overall, this study highlights the application of AI in assisting data librarians with code script creation for web scraping tasks. AI may be a valuable resource for data librarians dealing with big data challenges on the Web. The possibility of creating Python code with AI is of great value, as AI technologies can help data librarians work with various types of data sources. The Python code in Data Science web scraping projects uses a machine-learning model that can generate human-like code to help create and improve the library service for extracting data from a web collection. The ability of nonprogramming data librarians to use AI technologies facilitates their interactions with all types and data sources. The Python programming language has artificial intelligence modules, packages, and plugins such as the OpenAI Codex, which serialises automation and navigation in web browsers to simulate human behaviour on pages by entering passwords, selecting captcha options, collecting data, and creating different collections of datasets to be viewed. [ABSTRACT FROM AUTHOR]

Copyright of Ciência da Informação is the property of Instituto Brasileiro de Informacao em Ciencia e Tecnologia (IBICT) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ciência da Informação is the property of Instituto Brasileiro de Informacao em Ciencia e Tecnologia (IBICT) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: Scientific communication in its new model of performance, enabling access to information in an open way, has contributed so that society can resort to scientific production in an easier way, which has occurred due to its availability in open access journals and institutional repositories. The retrieval of information, in a scientific context, provides access to the intellectual production from the possibility of its search in retrieval systems. Objective: To analyze the information retrieval systems (IRS) based on the search tools of the Brazilian institutional repositories of theses and dissertations available in the BDTD and its databases, comparing them with the parameters established by IBICT. Methodology: Conducts bibliographic research on the theme and documentary research from access to the standards, guidelines and manuals provided by IBICT. Results: It confirms that the institutions participating in the BDTD do not necessarily need to stick to the standards in a partial way established by IBICT, being necessary only that they assign to their repositories the mandatory metadata standards, along with the use of the OAI-PMH protocol and the use of XML technology so that the collection of data occurs for availability in the national BDTD portal. Conclusion: the information retrieval systems of the repositories have technological tools and specifications that confer navigation in the systems by the users, contributing to the best search experience and access to information relevant to the informational issues of the same. [ABSTRACT FROM AUTHOR]

Copyright of Informacao & Sociedade: Estudos is the property of Universidade Federal de Campina Grande, Centro de Humanidades and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Ibero-Americana de Ciência da Informação is the property of Revista Ibero-Americana de Ciencia da Informacao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação is the property of Universidade Estadual de Campinas - Portal de Periodicos Eletronicos Cientificos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

It is noticed that the mobility of individuals has become increasingly present in Brazil, where one of the reasons for this phenomenon are individuals who choose to train in different locations from their origin, highlighting some of those who decide to go to other countries in search for better opportunities. Given this scenario, this work aims to analyze the flow traveled by Brazilian doctors in the period of their academic training. For this purpose, the curricula of all Brazilian doctors from all areas of knowledge registered on the Lattes Platform were extracted, filtering the relevant data for the research, making it possible to measure how Brazilian academic mobility occurs at an international level. As a result, it was observed that the main capitals of the states responsible for most universities that have postgraduate courses have great influence on the migration process for training. [ABSTRACT FROM AUTHOR]

The proposal aims to present the BrCris system as a support tool for Open Science. The research targets are the organization of information in a single Platform of data collected on the Brazilian Research Ecosystem, whose goals are the construction of visualization and information retrieval services, in addition to the construction of interoperability interfaces between systems. The first results of the execution of the Project already include the development of the architecture and mapping of the relational and semantic data model, mapping of the data sources to be aggregated by the system, the implementation of aggregation tests for the mapped resources and the definition and execution of tests of services to be made available. Using the same infrastructure as the LA Referencia Platform, the project aggregated the data from the Lattes Platform, the patent dataset, the data from graduate programs and the international Wikidata, OpenAIRE Research Graph and DOAJ databases. Sequentially, the entities, classes and categories of the data indexed in the proposal were created by VIVO Ontology. Finally, for its representation/visualization, dashboards were built to present the statistics of the datasets already loaded, as well as graphics to simplify the visualization and retrieval of the aggregated information through the VIVO software. [ABSTRACT FROM AUTHOR]

Copyright of Ciência da Informação is the property of Instituto Brasileiro de Informacao em Ciencia e Tecnologia (IBICT) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ciência da Informação is the property of Instituto Brasileiro de Informacao em Ciencia e Tecnologia (IBICT) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: develop and evaluate a vaccine application for mobile devices, with update integrated with the National Immunization Program Information System, for care in vaccination rooms. Method: methodological research based on the Pressman System Development Life Cycle theory developed in three stages: integrative literature review, computational development, and application evaluation. The product was evaluated as to satisfaction, using a validated questionnaire, and as to usability by the System Usability Scale. Results: the application functionalities were based on the survey of technological Innovations on immunization, published in the scientific literature. It displays user vaccines directly from the National Immunization Program Information System, notifies about upcoming vaccines, and enables the inclusion of vaccine cards of dependents. The evaluation resulted in users' mean score of 90.5 ± 11.1 and health professionals' mean score of 84.2 ± 19.4. Conclusion: the application is a technological tool with potential to improve the work process in vaccination rooms and to reach the goals of vaccine coverage. It synchronizes data with the National Immunization Program Information System, thus enabling the maintenance of people's vaccination history. [ABSTRACT FROM AUTHOR]

Studies on scientific production data have received attention from researchers in various fields to gain insight into the evolution of research in general. Such studies allow the analysis of scientific production for various purposes and one of the challenges in this type of analysis lies in the diversity of repositories containing data in different formats and structures. In addition, problems such as data redundancy, ambiguity, and incorrect data make the analysis even more complex. In this article, an analysis of the curricular data of Brazilian researchers enrolled in the Lattes Platform is carried out. The amount of data analyzed makes it possible to obtain a view of the whole set consisting of millions of curricula, and contains data on scientific publications, training level, areas of activity, among others. In the results presented, it is possible to obtain an overview of the Brazilian scientific production and the profile of the productivity of the doctors who have worked in Brazil. [ABSTRACT FROM AUTHOR]

Science has shown an impressive growth in the last decades in the number of publications of scientific articles, and the essential factors for this development are the large number of information available on the Internet and the expansion of socialization among researchers. As a result, there is a global effort of all areas of knowledge, business and foundations interested in understanding the scientific level of nations or individualized groups, for example, to serve as the basis for the construction of scientific policies aiming at new advances in science or to promote groups to become more productive. In this context, the objective of this work is to identify and analyze the main topics of research published during the course of Brazilian science by PhD researchers who have curricula registered in the Lattes Platform and who are dedicated to a large field of applied social sciences. [ABSTRACT FROM AUTHOR]

Bibliometric and scientometric studies have contributed significantly to the understanding of the evolution of scientific research. Such studies that aim to quantify the scientific production contribute significantly to analyzes that make it possible to compare groups of researchers, institutions and also possible directions for the promotion of new research. In this context, understanding the scientific production of a particular set of individuals, an institution or a specific area of activity, allows not only to identify the panorama of the works carried out, but also to outline strategies to leverage the scientific production of the set under analysis. The major difficulty or limitation of this type of analysis lies in data repositories that are mostly limited to some areas of knowledge or only have information from international data repositories that may neglect the scientific production of some sets of researchers, impact analysis. Therefore, this paper aims to analyze the set of researchers who have worked in the area of Information Science in Brazil, having as data source their curricula registered in the Lattes Platform. As a result, it is possible to see how the group has published the results of their research, as they are distributed by the various teaching and research institutions in the country, and analyze how they have collaborated. The results presented here are relevant because they present in an unprecedented way a general picture of all the individuals who have acted in the area. [ABSTRACT FROM AUTHOR]

In the scientific environment, researchers tend to carry out their research and one of the main objectives is the dissemination of the results that are achieved. Therefore, scientific communication is characterized as an important mechanism for the dissemination of research results in the various areas of knowledge. In this context, the articles are characterized as the main elements for the description of the studies carried out, and consequently, of the results achieved. The dissemination of research results, mainly with the adoption of scientific articles, makes it possible to disseminate the techniques and metrics used, as well as the results achieved to a number of interested parties in the research topic. Given this, the publication of articles in open access, appears as an interesting mechanism for the publication of papers, since it facilitates and facilitates access, considering that there are no barriers, mainly financial to access the contents of the works. Therefore, to identify how the results of scientific investigations are being published allows us to understand how scientific communication has been used to disseminate research studies. Considering that broad dissemination and easy access to scientific studies enables and drives the evolution of research, this work aims to identify and analyze the set of researchers who have used open access journals to disseminate the results of their research, allowing wide dissemination and access to your works. [ABSTRACT FROM AUTHOR]

The production of scientific works presented a significant growth in the last decades, being the Internet the main factor of access and diffusion of these. Consequently, a global effort of all the areas of the knowledge regarding the studies on data of the scientific production is noted, in order to know what has been researched. These studies may serve several purposes, such as providing a basis for the construction of policies to stimulate research aiming at new advances in science. In this context, this paper presents a proposal for a textual analysis on the Brazilian scientific development recorded throughout history in the Lattes Platform curriculum. In order to do so, a framework of components was developed with the purpose of filtering and treating the data of the curricula for standardization and definition of the essential information to be analyzed, and at the same time, to reduce the computational processing to generate the desired results. The first results are presented through the application of bibliometric analyzes and techniques based on social network analyzes, on the keywords of articles published in congress proceedings and in periodicals. Thus, quantitatively, it was possible to present a general characterization of the keywords used, and, with this, to highlight the main topics of research developed over the last years [ABSTRACT FROM AUTHOR]

Periodicals are essential in Scientific Communication. Considering the importance of this publication format, this paper aims to present the characteristics of the Brazilian scientific production, indexed in the Lattes Platform, whose characteristic is the fact that it has been published in open access journals. LattesDataXplorer, a framework for extracting and processing data, was used to obtain the articles to be analyzed. All articles published in scientific journals, registered in the curricula of the PhD researchers in the Lattes Platform, were checked to see if the ISSN of the publication was present in the list of journals indexed in the Directory of Open Access Journals (DOAJ). Data analysis revealed that of the more than 4 million articles in journals registered by PhD researchers in the Lattes Platform curricula, approximately 1.5 million were made available in open access journals. The results showed that the knowledge areas with the highest number of publications in open access are those of Health Sciences, followed by Agrarian Sciences. Based on the methodology used, through the crossing between DOAJ and Plataforma Lattes, it was possible to map and to know the characteristics of the Brazilian researchers' publication in open access journals, in the different areas of knowledge, as well as, made possible the temporal analysis of this production. [ABSTRACT FROM AUTHOR]

Studies on scientific data have attracted the interest of researchers in various fields of knowledge, in view of their potential to better understand how research in a given area has been carried out, or how groups of researchers have collaborated in the development of their work. Thus, this study describes the process of extracting, treating and characterizing a collection of data containing scientific information about individuals with curricula registered in the Lattes Platform. The paper also presents a quantitative description of the data collected, as well as a general description of the extracted data sets. [ABSTRACT FROM AUTHOR]

Copyright of Pesquisa Brasileira em Ciência da Informação e Biblioteconomia is the property of Pesquisa Brasileira em Ciencia da Informacao e Biblioteconomia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)