Where is all the research software? An analysis of software in UK academic repositories.

This research examines the prevalence of research software as independent records of output within UK academic institutional repositories (IRs). There has been a steep decline in numbers of research software submissions to the UK's Research Excellence Framework from 2008 to 2021, but there has been no investigation into whether and how the official academic IRs have affected the low return rates. In what we believe to be the first such census of its kind, we queried the 182 online repositories of 157 UK universities. Our findings show that the prevalence of software within UK Academic IRs is incredibly low. Fewer than 28% contain software as recognised academic output. Of greater concern, we found that over 63% of repositories do not currently record software as a type of research output and that several Universities appeared to have removed software as a defined type from default settings of their repository. We also explored potential correlations, such as being a member of the Russell group, but found no correlation between these metadata and prevalence of records of software. Finally, we discuss the implications of these findings with regards to the lack of recognition of software as a discrete research output in institutions, despite the opposite being mandated by funders, and we make recommendations for changes in policies and operating procedures.

Citation analysis of computer systems papers.

Citation analysis is used extensively in the bibliometrics literature to assess the impact of individual works, researchers, institutions, and even entire fields of study. In this article, we analyze citations in one large and influential field within computer science, namely computer systems. Using citation data from a cross-sectional sample of 2,088 papers in 50 systems conferences from 2017, we examine four research areas of investigation: overall distribution of systems citations; their evolution over time; the differences between databases (Google Scholar and Scopus), and; the characteristics of self-citations in the field. On citation distribution, we find that overall, systems papers were well cited, with the most cited subfields and conference areas within systems being security, databases, and computer architecture. Only 1.5% of papers remain uncited after five years, while 12.8% accrued at least 100 citations. For the second area, we find that most papers achieved their first citation within a year from publication, and the median citation count continued to grow at an almost linear rate over five years, with only a few papers peaking before that. We also find that early citations could be linked to papers with a freely available preprint, or may be primarily composed of self-citations. For the third area, it appears that the choice of citation database makes little difference in relative citation comparisons, despite marked differences in absolute counts. On the fourth area, we find that the ratio of self-citations to total citations starts relatively high for most papers but appears to stabilize by 12-18 months, at which point highly cited papers revert to predominately external citations. Past self-citation count (taken from each paper's reference list) appears to bear little if any relationship with the future self-citation count of each paper. The primary practical implication of these results is that the impact of systems papers, as measured in citations, tends to be high relative to comparable studies of other fields and that it takes at least five years to stabilize. A secondary implication is that at least for this field, Google Scholar appears to be a reliable source of citation data for relative comparisons.

Preferences for printed books versus E-books among university students in a Middle Eastern country.

Background: Learning styles vary among the students at the university level which has changed from traditional to more technology pervaded strategies involving digital gadgets. The Academic libraries are being challenged to upgrade from old fashioned hard copy resources to digital libraries including electronic books. Purpose: The main purpose of the study is to assess the preferences of using printed books versus e-books. Methods: A descriptive cross sectional survey design was used to collect the data. A total of 607 students were included in the study. Data collected was analyzed using descriptive and inferential statistics. Results: Results showed that 86.8% of the students were in undergraduate program with 48.9% students in the second year of the program, 95.6% in the age group of 17-26 years and 59.5% of them being females. The study concluded that 74.6% of students prefer e-books in terms of easy to carry and 80.6% of them spent more than 1 h reading from e-books, while 66.7% of the students preferred printed books due to the ease in studying and 67.9% favored as it is easy to make notes. However, 54% of them felt studying from the digital copies difficult. Conclusion: The study concludes that the students prefer e-books as they spent more time reading from e-books and are easy to carry; while traditional printed copy is comfortable to use and easy to take notes and study for exams. Implications for practice: As many changes are happening in the instructional design strategies with the introduction of hybrid methods of teaching and learning, the findings of the study will guide the stake holders and educational policy makers to design novel and modernized educational design that has a psychological, and social impact among the students.

A discovery system for narrative query graphs: entity-interaction-aware document retrieval.

Finding relevant publications in the scientific domain can be quite tedious: Accessing large-scale document collections often means to formulate an initial keyword-based query followed by many refinements to retrieve a sufficiently complete, yet manageable set of documents to satisfy one's information need. Since keyword-based search limits researchers to formulating their information needs as a set of unconnected keywords, retrieval systems try to guess each user's intent. In contrast, distilling short narratives of the searchers' information needs into simple, yet precise entity-interaction graph patterns provides all information needed for a precise search. As an additional benefit, such graph patterns may also feature variable nodes to flexibly allow for different substitutions of entities taking a specified role. An evaluation over the PubMed document collection quantifies the gains in precision for our novel entity-interaction-aware search. Moreover, we perform expert interviews and a questionnaire to verify the usefulness of our system in practice. This paper extends our previous work by giving a comprehensive overview about the discovery system to realize narrative query graph retrieval.

Diseño e implementación de la biblioteca virtual de la Facultad de Ciencias Médicas de Bayamo

Las páginas web constituyen un medio facilitador del conocimiento. El trabajo se realizó con el objetivo de diseñar e implementar una biblioteca virtual para favorecer el proceso de gestión de la información del Departamento de Información Científica-Técnica y Biblioteca de la Facultad de Ciencias Médicas de Bayamo. Para el desarrollo del contenido del sitio se emplearon: observación, encuestas y entrevistas. Para desarrollar el producto se llevaron a cabo cinco procesos: planificación inicial del sitio, definición, diseño y estándares, puesta en marcha y plan de mantenimiento. Para la confección de la página se empleó el gestor de contenidos WordPress, así como PHP, MySQL, Apache, XAMPP y Windows como lenguaje de programación, motor de bases de datos, servidor Web, paquete de software libre y sistema operativo respectivamente. Se concluye que la implementación de la biblioteca virtual, facilita el proceso de gestión de la información, despierta el interés por la investigación y contribuye a la alfabetización informacional de los usuarios de salud que ingresen a la web. Facilitará la visibilidad, la gestión técnica bibliotecaria; la divulgación, difusión, y uso de los servicios y recursos de información disponibles.

Web pages constitute a means of facilitating knowledge. The work was carried out with the objective of designing and implementing a virtual library to favor the information management process of the Department of Scientific and Technical Information and the Library of the Faculty of Medical Sciences of Bayamo. Observation, surveys and interviews were used in the development of the content of the site. Five processes were carried out to develop the product: initial planning of the site, definition, design and standards, commissioning, and maintenance plan. To create the page, the content manager WordPress was used; PHP, MySQL, Apache, XAMPP and Windows were used as the programming language, database engine, Web server, free software package and operating system, respectively. It is concluded that the implementation of the virtual library facilitates the information management process, awakens the interest in research, and contributes to the information literacy of health users who enter the web. It will facilitate visibility, library technical management, disclosure, dissemination, and use of available information services and resources.

SCINOBO: a novel system classifying scholarly communication in a dynamically constructed hierarchical Field-of-Science taxonomy.

Classifying scientific publications according to Field-of-Science taxonomies is of crucial importance, powering a wealth of relevant applications including Search Engines, Tools for Scientific Literature, Recommendation Systems, and Science Monitoring. Furthermore, it allows funders, publishers, scholars, companies, and other stakeholders to organize scientific literature more effectively, calculate impact indicators along Science Impact pathways and identify emerging topics that can also facilitate Science, Technology, and Innovation policy-making. As a result, existing classification schemes for scientific publications underpin a large area of research evaluation with several classification schemes currently in use. However, many existing schemes are domain-specific, comprised of few levels of granularity, and require continuous manual work, making it hard to follow the rapidly evolving landscape of science as new research topics emerge. Based on our previous work of scinobo, which incorporates metadata and graph-based publication bibliometric information to assign Field-of-Science fields to scientific publications, we propose a novel hybrid approach by further employing Neural Topic Modeling and Community Detection techniques to dynamically construct a Field-of-Science taxonomy used as the backbone in automatic publication-level Field-of-Science classifiers. Our proposed Field-of-Science taxonomy is based on the OECD fields of research and development (FORD) classification, developed in the framework of the Frascati Manual containing knowledge domains in broad (first level(L1), one-digit) and narrower (second level(L2), two-digit) levels. We create a 3-level hierarchical taxonomy by manually linking Field-of-Science fields of the sciencemetrix Journal classification to the OECD/FORD level-2 fields. To facilitate a more fine-grained analysis, we extend the aforementioned Field-of-Science taxonomy to level-4 and level-5 fields by employing a pipeline of AI techniques. We evaluate the coherence and the coverage of the Field-of-Science fields for the two additional levels based on synthesis scientific publications in two case studies, in the knowledge domains of Energy and Artificial Intelligence. Our results showcase that the proposed automatically generated Field-of-Science taxonomy captures the dynamics of the two research areas encompassing the underlying structure and the emerging scientific developments.

Modular Digital and 3D-Printed Dental Models with Applicability in Dental Education.

Background and Objectives: The ever more complex modern dental education requires permanent adaptation to expanding medical knowledge and new advancements in digital technologies as well as intensification of interdisciplinary collaboration. Our study presents a newly developed computerized method allowing virtual case simulation on modular digital dental models and 3D-printing of the obtained digital models; additionally, undergraduate dental students' opinion on the advanced method is investigated in this paper. Materials and Methods: Based on the digitalization of didactic dental models, the proposed method generates modular digital dental models that can be easily converted into different types of partial edentulism scenarios, thus allowing the development of a digital library. Three-dimensionally printed simulated dental models can subsequently be manufactured based on the previously obtained digital models. The opinion of a group of undergraduate dental students (n = 205) on the proposed method was assessed via a questionnaire, administered as a Google form, sent via email. Results: The modular digital models allow students to perform repeated virtual simulations of any possible partial edentulism cases, to project 3D virtual treatment plans and to observe the subtle differences between diverse teeth preparations; the resulting 3D-printed models could be used in students' practical training. The proposed method received positive feedback from the undergraduate students. Conclusions: The advanced method is adequate for dental students' training, enabling the gradual design of modular digital dental models with partial edentulism, from simple to complex cases, and the hands-on training on corresponding 3D-printed dental models.

MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed.

Here we study the semantic search and retrieval problem in biomedical digital libraries. First, we introduce MedGraph, a knowledge graph embedding-based method that provides semantic relevance retrieval and ranking for the biomedical literature indexed in PubMed. Second, we evaluate our approach using PubMed's Best Match algorithm. Moreover, we compare our method MedGraph to a traditional TF-IDF-based algorithm. Third, we use a dataset extracted from PubMed, including 30 million articles' metadata such as abstracts, author information, citation information, and extracted biological entity mentions. We pull a subset of the dataset to evaluate MedGraph using predefined queries with ground truth ranked results. To our knowledge, this technique has not been explored before in biomedical information retrieval. In addition, our results provide some evidence that semantic approaches to search and relevance in biomedical digital libraries that rely on knowledge graph modeling offer better search relevance results when compared with traditional methods in terms of objective metrics.

Novel Perspectives for the Management of Multilingual and Multialphabetic Heritages through Automatic Knowledge Extraction: The DigitalMaktaba Approach.

The linguistic and social impact of multiculturalism can no longer be neglected in any sector, creating the urgent need of creating systems and procedures for managing and sharing cultural heritages in both supranational and multi-literate contexts. In order to achieve this goal, text sensing appears to be one of the most crucial research areas. The long-term objective of the DigitalMaktaba project, born from interdisciplinary collaboration between computer scientists, historians, librarians, engineers and linguists, is to establish procedures for the creation, management and cataloguing of archival heritage in non-Latin alphabets. In this paper, we discuss the currently ongoing design of an innovative workflow and tool in the area of text sensing, for the automatic extraction of knowledge and cataloguing of documents written in non-Latin languages (Arabic, Persian and Azerbaijani). The current prototype leverages different OCR, text processing and information extraction techniques in order to provide both a highly accurate extracted text and rich metadata content (including automatically identified cataloguing metadata), overcoming typical limitations of current state of the art approaches. The initial tests provide promising results. The paper includes a discussion of future steps (e.g., AI-based techniques further leveraging the extracted data/metadata and making the system learn from user feedback) and of the many foreseen advantages of this research, both from a technical and a broader cultural-preservation and sharing point of view.

Percepciones de estudiantes de enfermería con el uso de la herramienta "Libro" de Moodle / Perceptions of Nursing Students regarding the Use of the "Libro" Moodle Tool

Introducción: La formación de las enfermeras en administración y liderazgo tiene una importante repercusión sobre el presente y el futuro de la profesión. Sin embargo, la docencia y la evaluación realizadas en el nivel de pregrado, en su primer contacto con la materia, pueden generarles insatisfacción. Objetivo: Describir las percepciones de estudiantes de Enfermería sobre una innovación docente basada en el uso del "Libro" de Moodle como herramienta pedagógica, dentro de un enfoque general de clase invertida. Métodos: Estudio mixto exploratorio, realizado entre octubre y diciembre de 2020 en la Universidad de Huelva (España), mediante encuesta anónima sobre una muestra de 140 alumnos (del total de 145 estudiantes del 3º curso). Los datos fueron procesados en Excel y analizados de forma descriptiva (datos cuantitativos) y por categorías (datos cualitativos). Resultados: La valoración media del uso de la herramienta "Libro" fue de 9,10 sobre 10. El 92,00 por ciento de los estudiantes se mostró satisfecho con la metodología de enseñanza y 92,90 por ciento con la evaluación. Los estudiantes manifestaron haber mejorado su opinión sobre los contenidos gracias a la metodología empleada. Conclusión: La mayoría de los estudiantes participantes en este estudio se han mostrado satisfechos con el uso de la herramienta de Moodle dentro de un contexto de docencia a través de clase invertida(AU)

Introduction: The training of nurses in management and leadership has an important impact on the present and future of the profession. However, the teaching and evaluation carried out in the undergraduate level, in their first contact with the subject, can generate dissatisfaction. Objective: To describe the perceptions of students of Nursing Administration and Management regarding a teaching innovation based on using the "Libro" tool in the framework of teaching by means of a flipped classroom. Methods: Exploratory and mixed study carried out between October and December 2020 at the University of Huelva, Spain, by means of an anonymous survey conducted with a sample of 140 students (of the total of 145 students from the third academic year). The data were processed in Excel and analyzed descriptively (quantitative data) and by categories (qualitative data). Results: The average evaluation of using the "Libro" tool was 9.10 out of 10. 92.00 percent of the students were satisfied with the teaching methodology and 92.90 percent were satisfied with the evaluation. The students stated that their opinion of the contents had improved thanks to the methodology used. Conclusion: Most of the students participating in this study were satisfied with the use of the Moodle tool within a teaching setting of flipped classroom(AU)

Current Research on Theory and Practice of Digital Libraries: Best Papers from TPDL 2019 & 2020.

This volume presents a special issue on selected papers from the 2019 & 2020 editions of the International Conference on Theory and Practice of Digital Libraries (TPDL). They cover different research areas within Digital Libraries, from Ontology and Linked Data to quality in Web Archives and Topic Detection. We first provide a brief overview of both TPDL editions, and we introduce the selected papers.

In-text citation's frequencies-based recommendations of relevant research papers.

From the past half of a century, identification of the relevant documents is deemed an active area of research due to the rapid increase of data on the web. The traditional models to retrieve relevant documents are based on bibliographic information such as Bibliographic coupling, Co-citations, and Direct citations. However, in the recent past, the scientific community has started to employ textual features to improve existing models' accuracy. In our previous study, we found that analysis of citations at a deep level (i.e., content level) can play a paramount role in finding more relevant documents than surface level (i.e., just bibliography details). We found that cited and citing papers have a high degree of relevancy when in-text citations frequency of the cited paper is more than five times in the citing paper's text. This paper is an extension of our previous study in terms of its evaluation of a comprehensive dataset. Moreover, the study results are also compared with other state-of-the-art approaches i.e., content, metadata, and bibliography. For evaluation, a user study is conducted on selected papers from 1,200 documents (comprise about 16,000 references) of an online journal, Journal of Computer Science (J.UCS). The evaluation results indicate that in-text citation frequency has attained higher precision in finding relevant papers than other state-of-the-art techniques such as content, bibliographic coupling, and metadata-based techniques. The use of in-text citation may help in enhancing the quality of existing information systems and digital libraries. Further, more sophisticated measure may be redefined be considering the use of in-text citations.

LOPDF: a framework for extracting and producing open data of scientific documents for smart digital libraries.

BACKGROUND: Results of scientific experiments and research work, either conducted by individuals or organizations, are published and shared with scientific community in different types of scientific publications such as books, chapters, journals, articles, reference works and reference works entries. One aspect of these documents is their contents and the other is metadata. Metadata of scientific documents could be used to increase mutual cooperation, find people with common interest and research work, and to find scientific documents in the matching domains. The major issue in getting these benefits from metadata of scientific publications is availability of these data in unstructured (or semi-structured) format so that it can not be used to ask smart queries that can help in computing and performing different types of analysis on scientific publications data. Also, acquisition and smart processing of publications data is a complicated as well as time and resource consuming task. METHODS: To address this problem we have developed a generic framework named as Linked Open Publications Data Framework (LOPDF). The LOPDF framework can be used to crawl, process, extract and produce machine understandable data (i.e., LOD) about scientific publications from different publisher specific sources such as portals, XML export and websites. In this paper we present the architecture, process and algorithm that we developed to process textual publications data and to produce semantically enriched data as RDF datasets (i.e., open data). RESULTS: The resulting datasets can be used to make smart queries by making use of SPARQL protocol. We also present the quantitative as well as qualitative analysis of our resulting datasets which ultimately can be used to compute the research behavior of organizations in rapidly growing knowledge society. Finally, we present the potential usage of producing and processing such open data of scientific publications and how results of performing smart queries on resulting open datasets can be used to compute the impact and perform different types of analysis on scientific publications data.

A systematic metadata harvesting workflow for analysing scientific networks.

One of the disciplines behind the science of science is the study of scientific networks. This work focuses on scientific networks as a social network having different nodes and connections. Nodes can be represented by authors, articles or journals while connections by citation, co-citation or co-authorship. One of the challenges in creating scientific networks is the lack of publicly available comprehensive data set. It limits the variety of analyses on the same set of nodes of different scientific networks. To supplement such analyses we have worked on publicly available citation metadata from Crossref and OpenCitatons. Using this data a workflow is developed to create scientific networks. Analysis of these networks gives insights into academic research and scholarship. Different techniques of social network analysis have been applied in the literature to study these networks. It includes centrality analysis, community detection, and clustering coefficient. We have used metadata of Scientometrics journal, as a case study, to present our workflow. We did a sample run of the proposed workflow to identify prominent authors using centrality analysis. This work is not a bibliometric study of any field rather it presents replicable Python scripts to perform network analysis. With an increase in the popularity of open access and open metadata, we hypothesise that this workflow shall provide an avenue for understanding scientific scholarship in multiple dimensions.

A language to analyze, describe, and explore collections of visual art.

A vast quantity of art in existence today is inaccessible to individuals. If people want to know the different types of art that exist, how individual works are connected, and how works of art are interpreted and discussed in the context of other works, they must utilize means other than simply viewing the art. Therefore, this paper proposes a language to analyze, describe, and explore collections of visual art (LadeCA). LadeCA combines human interpretation and automatic analyses of images, allowing users to assess collections of visual art without viewing every image in them. This paper focuses on the lexical base of LadeCA. It also outlines how collections of visual art can be analyzed, described, and explored using a LadeCA vocabulary. Additionally, the relationship between LadeCA and indexing systems, such as ICONCLASS or AAT, is demonstrated, and ways in which LadeCA and indexing systems can complement each other are highlighted. Video abstract.

Archivos digitales para historiadores: investigar en tiempos de pandemia / Digital archives for historians: research during the pandemic

Resumen Este artículo tiene como propósito poner al alcance de investigadores y estudiantes información sobre archivos digitales de bibliotecas en América Latina y en el extranjero. Su contenido está orientado para aquellos interesados en historia de la salud, con énfasis en Perú y Chile.

Abstract This article aims to provide researchers and students with information on digital archives in libraries in Latin America and elsewhere. It is aimed at those interested in health history, focusing on Peru and Chile.

Producción científica sobre dengue en SciELO Regional, enero 2013-septiembre 2020

RESUMEN Introducción: El análisis documental de la producción científica sobre dengue, indizada en SciELO Regional ofrece un mayor alcance y visibilidad para Latinoamérica y el Caribe. Objetivo: Reconocer a SciELO Regional como un recurso de visibilidad y posicionamiento de la producción científica en el contexto Latinoamericano. Métodos: Se realizó un estudio descriptivo a través del método de análisis documental, en el período de enero 2013-septiembre 2020. El universo fue el total de los artículos obtenidos en la búsqueda directa. Se tomó como criterio de exclusión el no utilizar la materia dengue y los artículos duplicados. Resultados: En el análisis se incluyeron 1 105 artículos de estos 152 duplicados y para la revisión se obtuvieron 953 artículos. Brasil alcanzó la mayor producción como país; además sus revistas contribuyeron con la mayor cantidad de artículos publicados; en el año 2016. Conclusiones: SciELO regional constituye una herramienta de gran utilidad para la obtención e intercambio de información científica. Los resultados conseguidos en esta investigación apuntan a que la ciencia generada en Latinoamérica, el Caribe, España y Portugal, alcanzan un aumento en su difusión y visibilidad.

ABSTRACT Introduction: Document analysis of the scientific production about dengue indexed in SciELO Regional provides greater scope and visibility for Latin America and the Caribbean. Objective: Recognize SciELO Regional as a resource enhancing the visibility and positioning of scientific production in the Latin American context. Methods: A descriptive study based on document analysis was conducted in the period extending from January 2013 to September 2020. The study universe was all the papers obtained by direct search. The exclusion criteria were not dealing with the topic of dengue and duplicate papers. Results: Of the total 1 105 papers analyzed, 152 were duplicates and 953 were retained for review. Brazil achieved the greatest production as a country, and its journals contributed the largest number of published papers in the year 2016. Conclusions: Results point to SciELO Regional as a resource enhancing visibility, positioning and good practices for information analysis and retrieval, where frontiers are not distinguished in terms of image, access and resources.

Bibliotecas digitais e virtuais à luz da literatura brasileira: da construção ao acesso / Digital and virtual libraries in the light of brazilian literature: from construction to access

RESUMO Os reflexos das tecnologias da informação e comunicação nas bibliotecas é tema recorrente na literatura da área de Biblioteconomia e Ciência da Informação. Este artigo constitui uma revisão de literatura sobre o tema "Bibliotecas Digitais" e "Bibliotecas Virtuais", haja vista verificar os principais assuntos discorridos na literatura, por conseguinte, apresentar aspectos quantitativos que caracterizam a produção científica sobre o tema. A pesquisa é descritiva, qualiquantitativa e foram selecionados artigos da Base de Dados de Periódicos em Ciência da Informação, SciELO e Portal de Periódicos CAPES, publicados em português, de 2010 a 2014, mediante a técnica de coleta do tipo levantamento e análise de conteúdo. Os procedimentos realizados no estudo permitiram a identificação de 21 artigos que contemplam diferentes assuntos relacionados ao tema: estruturação das bibliotecas, produtos e serviços oferecidos, educação e formação, e acesso e usabilidade da biblioteca. Os dados quantitativos analisados demonstraram haver preferência pelo termo "Bibliotecas Digitais" ao termo "Bibliotecas Virtuais", com predominância dos assuntos "estruturação de bibliotecas" e "acesso e usabilidade". Os trabalhos foram publicados de forma equilibrada, ao longo dos anos, predomínio da autoria coletiva, e houve distribuição uniforme entre boa parte dos periódicos brasileiros da Ciência da Informação/Biblioteconomia. Como principal limitação, destaca-se o uso de artigos em português, o que instiga a realização de estudos futuros em artigos publicados em inglês e espanhol, e delimitando o tempo para anos mais recentes.

RESUMEN Los reflejos de las tecnologías de la información y la comunicación en las bibliotecas son un tema recurrente en la literatura de bibliotecas y ciencias de la información. Este artículo es una revisión de la literatura sobre el tema "Bibliotecas digitales" y "Bibliotecas virtuales", con el fin de verificar los principales temas discutidos en la literatura, por lo tanto, presenta aspectos cuantitativos que caracterizan la producción científica sobre el tema. La investigación es descriptiva, cualitativa y cuantitativa, y los artículos de la Base de datos periódica de ciencias de la información, SciELO y Portal Capes, publicados en portugués, de 2010 a 2014, se seleccionaron utilizando la técnica de recopilación de encuestas y el análisis de contenido. Los procedimientos realizados en el estudio permitieron la identificación de 21 artículos que cubren diferentes temas relacionados con el tema: estructuración de la biblioteca, productos y servicios ofrecidos, educación y capacitación, y acceso a la biblioteca y usabilidad. Los datos cuantitativos analizados mostraron una preferencia por el término "Bibliotecas digitales" sobre el término "Bibliotecas virtuales", con predominio de los temas "estructuración de bibliotecas" y "acceso y usabilidad". Las obras se publicaron de manera equilibrada, a lo largo de los años, predominando la autoría colectiva, y hubo una distribución uniforme entre la mayoría de las revistas brasileñas de Ciencias de la Información / Bibliotecología. La principal limitación es el uso de artículos en portugués, lo que impulsa futuros estudios en artículos publicados en inglés y español, limitando el tiempo a años más recientes.

ABSTRACT The reflexes of information and communication technologies in libraries is a recurring theme in the library and information science literature. This article is a literature review on the topic "Digital Libraries" and "Virtual Libraries", in order to verify the main subjects discussed in the literature, therefore, presenting quantitative aspects that characterize the scientific production on the subject. The research is descriptive, qualitative and quantitative, and articles from the Information Science Periodical Database, SciELO and Portal Capes, published in Portuguese, from 2010 to 2014, were selected using the survey collection technique and content analysis. The procedures performed in the study allowed the identification of 21 articles that cover different subjects related to the theme: library structuring, products and services offered, education and training, and library access and usability. The quantitative data analyzed showed a preference for the term "Digital Libraries" over the term "Virtual Libraries", with predominance of the subjects "library structuring" and "access and usability". The works were published in a balanced way, over the years, predominance of collective authorship, and there was a uniform distribution among most Brazilian journals of Information Science / Library Science. The main limitation is the use of articles in Portuguese, which prompts future studies in articles published in English and Spanish, limiting the time to more recent years.

Promoting Library Visibility Through Creative Programing.

Digital libraries and their librarians face a challenge to remain visible to users since almost all their resources can be accessed without having to visit the library space. Libraries with a primarily electronic collection can promote their visibility through creative programing that draws people into the library space or provides opportunities for users to engage with librarians. A new, primarily digital academic health sciences library shares its experiences with developing creative user events and programs to promote the library's visibility.

Dental hygiene students and faculty attitudes and utilization of a single source electronic textbook platform.

OBJECTIVE: Transitioning to interactive e-textbooks has been considered revolutionary for enhancing student learning. However, adopting this technology has been met with hesitation. This study investigates student and faculty attitudes and utilization of mandatory e-textbooks in a dental hygiene program. METHODS: In 2017, an online questionnaire was distributed to students and a focus group was conducted with faculty to examine their perspectives about using VitalSource™. Using a 5-point Likert scale with five indicating strongly agree, the questionnaire examined convenience; compatibility with learning style; perceived enjoyment; and usefulness. Open-ended questions captured benefits and challenges. The focus group gathered faculty perspectives. Questionnaire data were analysed using descriptive statistics. Data from the open-ended questionnaire questions and focus group transcript followed a narrative analysis process. RESULTS: Survey response was 48% (n = 105). Students scored all factors below neutral. Results from four categories showed convenience (M = 2.75, SD = 0.92); compatibility (M = 1.93, SD = 0.83); perceived effectiveness (M = 2.15, SD = 0.90); and perceived usefulness (M = 2.36, SD = 1.04). A high correlation between all factors suggests they were uniformly rated by students. Majority of students (71%) did not use a textbook greater than once a month. Narrative analysis revealed few benefits; challenges included technical glitches, eyestrain, cost and inability to choose books as desired. Faculty's perspectives aligned with the students, but they appreciated portability of texts and quality of clinical images. CONCLUSIONS: Students strongly disliked the platform and the online medium and do not frequently access e-textbooks but rely on PowerPoint handouts for studying. Faculty felt e-textbooks do not align with positive learning experiences.