Application of WWWISIS : Web-based CDS/lSlS Bibliographic Databases for Journal Articles

2006 ◽  
Vol 26 (4) ◽  
pp. 17-30
Author(s):  
Sridhara B. Sridhara B. ◽  
Veena Makhija ◽  
Ajay Kumar Pandey
Keyword(s):  
Bibliographic Databases ◽  
Journal Articles ◽  
Web Based

scholarly journals Social and Solidarity Economy Web Information Systems

2014 ◽  
Vol 12 (1) ◽  
pp. 35-52 ◽  
Author(s):  
Mariana Curado Malta ◽  
Ana Alice Baptista ◽  
Cristina Parente
Keyword(s):  
Information Systems ◽  
State Of The Art ◽  
Bibliographic Databases ◽  
Sources Of Information ◽  
Solidarity Economy ◽  
Web Based ◽  
Web Information ◽  
The Social ◽  
Application Profile ◽  
Made In

This paper presents the state of the art on interoperability developments for the social and solidarity economy (SSE) community web based information systems (WIS); it also presents a framework of interoperability for the SSE' WIS and the developments made in a research-in-progress PhD project in the last 3 years. A search on the bibliographic databases showed that so far there are no papers on interoperability initiatives on the SSE, so it was necessary to have other sources of information: a preliminary analysis of the WIS that support SSE activities; and interviews with the representatives of some of the world's most important SSE organisations. The study showed that the WIS are still not interoperable yet. In order to become interoperable a group of the SSE community has been developing a Dublin Corre Application Profile to be used by the SSE community as reference and binding to describe their resources. This paper also describes this on-going process.

Connecting art images and bibliographic data: creating a tool for distance education through collaboration

2000 ◽  
Vol 25 (2) ◽  
pp. 21-25
Author(s):  
Roger Durbin
Keyword(s):  
Distance Education ◽  
Metropolitan Area ◽  
Art Museum ◽  
The State ◽  
Bibliographic Databases ◽  
Web Based ◽  
Non Profit ◽  
Web Resources ◽  
Bibliographic Data ◽  
The University

About the only way a small non-profit art museum and its library can hope to create and disseminate information about both its art and bibliographic collections is through collaboration and co-operation. The Akron Art Museum, the University of Akron Libraries, and OhioLink (the state-wide library and multimedia consortium) joined forces to compile the necessary records, images and software to connect information in the museum library’s catalogue to image files, and other biographic and bibliographic databases. Selected portions of the newly created resources are refashioned and merged with web-based lesson plans for use within the museum itself, out in the greater metropolitan area, and wherever Internet-based web resources can reach.

The Internet Revolution in the Sciences and Humanities

2016 ◽  
Author(s):  
Alan G. Gross ◽  
Joseph E. Harmon
Keyword(s):  
Web Sites ◽  
The Internet ◽  
Journal Articles ◽  
Web Based ◽  
Academic Organizations ◽  
Scientific Organizations ◽  
The Two Cultures ◽  
The Cost ◽  
Internet Revolution

The Internet Revolution in the Sciences and Humanities takes a new look at C.P. Snow's distinction between the two cultures, a distinction that provides the driving force for a book that contends that the Internet revolution has sown the seeds for transformative changes in both the sciences and the humanities. It is because of this common situation that the humanities can learn from the sciences, as well as the sciences from the humanities, in matters central to both: generating, evaluating, and communicating knowledge on the Internet. In a succession of chapters, the authors deal with the state of the art in web-based journal articles and books, web sites, peer review, and post-publication review. In the final chapter, they address the obstacles the academy and scientific organizations face in taking full advantage of the Internet: outmoded tenure and promotion procedures, the cost of open access, and restrictive patent and copyright law. They also argue that overcoming these obstacles does not require revolutionary institutional change. In their view, change must be incremental, making use of the powers and prerogatives scientific and academic organizations already have.

scholarly journals Accessing the Literature: Using Bibliographic Databases to Find Journal Articles. Part 1

2001 ◽  
Vol os8 (3) ◽  
pp. 117-121 ◽  
Author(s):  
Helen S Marlborough
Keyword(s):  
World Wide ◽  
Continuing Professional Development ◽  
Bibliographic Databases ◽  
Database Searching ◽  
Dental Practice ◽  
Journal Articles ◽  
Generic Skills ◽  
Quality Healthcare ◽  
Dental Practitioners ◽  
The World

Research in primary dental care, re-certification, continuing professional development, lifelong learning, peer review and quality healthcare are all informed by the published literature. Dental practitioners can find out about reliable and up-to-date information available in the published literature by searching bibliographic databases. Published in two parts, this article describes the databases relevant to clinical dental practice and explains the generic skills required to search them effectively, focusing on MEDLINE, the database most relevant for the majority of dental practitioners, which is freely available via the World Wide Web (WWW). The article differentiates between sensitivity (maximum recall) and specificity (relevance of recall), and suggests how to identify a manageable number of relevant citations, how to save the citations, and how to obtain the full text. In part 2, the article concludes by alerting readers to some of the limitations and pitfalls of database-searching.

Anxiety and Depression Chatbot Features: A Scoping Review (Preprint)

2020 ◽  
Author(s):  
Arfan Ahmed ◽  
Asmaa Hassan ◽  
Alaa A Abd-Alrazaq ◽  
Nashva Ali ◽  
Sarah Aziz ◽  
...  
Keyword(s):  
Mental Health ◽  
Scoping Review ◽  
Healthcare Workers ◽  
Negative Emotion ◽  
Anxiety And Depression ◽  
Bibliographic Databases ◽  
World Population ◽  
Reference List ◽  
Web Based ◽  
Virtual Assistance

BACKGROUND Apps and web-based chatbots can provide valuable and meaningful support to healthcare workers in assessing and guiding management of various health problems particularly when human resources are scarce. Despite poor adherence to such apps, chatbots can be cost-effective and efficient on-demand virtual assistants for various mental health conditions, including anxiety and depression. OBJECTIVE This study aims to review the features of chatbots currently available for individuals with suspected anxiety or depression. METHODS ACM digital library, IEEE, Google Scholar, Embase, Medline, and PsychINFO were the six bibliographic databases searched for conducting the review. We conducted backward and forward reference list checking of included studies. Study selection and data extraction were performed by two reviewers independently; two other individual reviewers justified cross-checking of extracted data. We utilized a narrative approach for synthesizing the data. RESULTS The initial search returned a total of 917 citations. A total of 32 studies remained on filtering the publications, which formed the final dataset for this scoping review. While most of the studies were from conference proceedings (69%, n=22), the remainder were either journal articles (16%, n=5), reports (9%, n=3), or book chapters (6%, n=2). Of the studies that developed an actual chatbot, 16% (n=7) were web based and 63% (n=20) stand-alone in the form of an app. The remainder were available on both platforms or were only conceptual ideas. About half of the reviewed chatbots had functionality targeting both anxiety and depression (56%, n=18), whereas 38% (n=12) targeted only depression, 3% (n=1) anxiety and the remaining addressed other mental health issues along with anxiety and depression like public speaking anxiety, stress, lack of motivation, negative emotion, nervousness. Input modality of most of the chatbots was written (84%, n=27), followed by spoken (25%, n=8) and visual imaging (9%, n=3). Despite the fact of increasing popularity of embodiment techniques in chatbots such as avatars were rarely used in these studies only 34% (n=11) CONCLUSIONS Recent research shows that mental health chatbots could be of benefit in helping patients with anxiety and depression and provide valuable support to mental healthcare workers, particularly when resources are scarce. They often provide virtual assistance where medical professionals are inaccessible or users need anonymous real-time personal virtual assistance. Their role in mental health care is expected to increase following the COVID-19 pandemic and its impact on mental health and wellbeing of the world population.

scholarly journals Social and Solidarity Economy Web Information Systems

2013 ◽  
pp. 1-16
Author(s):  
Mariana Curado Malta ◽  
Ana Alice Baptista
Keyword(s):  
Information Systems ◽  
Preliminary Analysis ◽  
Bibliographic Databases ◽  
Sources Of Information ◽  
Solidarity Economy ◽  
Web Based ◽  
Web Information ◽  
The Social ◽  
Common Framework ◽  
Web Information Systems

This chapter presents the state-of-the-art on interoperability developments for the social and solidarity economy web based information systems. A search on the bibliographic databases showed that there are no articles on interoperability initiatives on the social and solidarity economy, so it was necessary to have other sources of information: a preliminary analysis of the platforms that support social and solidarity economy activities; and interviews with the representatives of some of the world’s most important social and solidarity economy organizations. The study showed that the platforms are still not interoperable, but that there are efforts in this direction promoted by the social and solidarity economy organizations. It is clear that these organizations will need to find a common framework of understanding in order to implement interoperability among their platforms.

scholarly journals Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature (Preprint)

2017 ◽  
Author(s):  
Jette Henderson ◽  
Junyuan Ke ◽  
Joyce C Ho ◽  
Joydeep Ghosh ◽  
Byron C Wallace
Keyword(s):  
Patient Characteristics ◽  
Classification Model ◽  
Journal Articles ◽  
Evaluation Tool ◽  
Web Based ◽  
Nosql Databases ◽  
Multiple Classification ◽  
Essential Properties ◽  
Order Of Magnitude

BACKGROUND Researchers are developing methods to automatically extract clinically relevant and useful patient characteristics from raw healthcare datasets. These characteristics, often capturing essential properties of patients with common medical conditions, are called computational phenotypes. Being generated by automated or semiautomated, data-driven methods, such potential phenotypes need to be validated as clinically meaningful (or not) before they are acceptable for use in decision making. OBJECTIVE The objective of this study was to present Phenotype Instance Verification and Evaluation Tool (PIVET), a framework that uses co-occurrence analysis on an online corpus of publically available medical journal articles to build clinical relevance evidence sets for user-supplied phenotypes. PIVET adopts a conceptual framework similar to the pioneering prototype tool PheKnow-Cloud that was developed for the phenotype validation task. PIVET completely refactors each part of the PheKnow-Cloud pipeline to deliver vast improvements in speed without sacrificing the quality of the insights PheKnow-Cloud achieved. METHODS PIVET leverages indexing in NoSQL databases to efficiently generate evidence sets. Specifically, PIVET uses a succinct representation of the phenotypes that corresponds to the index on the corpus database and an optimized co-occurrence algorithm inspired by the Aho-Corasick algorithm. We compare PIVET’s phenotype representation with PheKnow-Cloud’s by using PheKnow-Cloud’s experimental setup. In PIVET’s framework, we also introduce a statistical model trained on domain expert–verified phenotypes to automatically classify phenotypes as clinically relevant or not. Additionally, we show how the classification model can be used to examine user-supplied phenotypes in an online, rather than batch, manner. RESULTS PIVET maintains the discriminative power of PheKnow-Cloud in terms of identifying clinically relevant phenotypes for the same corpus with which PheKnow-Cloud was originally developed, but PIVET’s analysis is an order of magnitude faster than that of PheKnow-Cloud. Not only is PIVET much faster, it can be scaled to a larger corpus and still retain speed. We evaluated multiple classification models on top of the PIVET framework and found ridge regression to perform best, realizing an average F1 score of 0.91 when predicting clinically relevant phenotypes. CONCLUSIONS Our study shows that PIVET improves on the most notable existing computational tool for phenotype validation in terms of speed and automation and is comparable in terms of accuracy.

scholarly journals Faculty Still Rely on Library Resources and Services for their Research

2016 ◽  
Vol 11 (3) ◽  
pp. 99 ◽  
Author(s):  
Dominique Daniel
Keyword(s):  
Online Survey ◽  
Research Output ◽  
Information Resource ◽  
Academic Disciplines ◽  
Bibliographic Databases ◽  
Library Services ◽  
Journal Articles ◽  
Scholarly Journals ◽  
Information Behaviour ◽  
First Choice

A Review of: Borrego, Á., & Anglada, L. (2016). Faculty information behaviour in the electronic environment: Attitudes towards searching, publishing and libraries. New Library World, 117(3/4): 173-185. doi:10.1108/NLW-11-2015-0089 Objective – To determine faculty’s information behaviour and their perception of academic libraries in the current transition between print and electronic scholarly communication. Design – Online survey. Setting – A consortium of 12 large universities in Spain. Subjects – More than 17,380 faculty members. Methods – The researchers used a questionnaire based on a subset of the questionnaire used for the Ithaka S+R Faculty Survey, with 20 closed and 2 open-ended questions. The survey was implemented via Google Forms and sent through mailing lists. The number of recipients was not known, but university statistics for 11 of the 12 universities list 17,380 faculty (statistics were not available for one university, located in a different administrative area). The questions aimed to identify the types of documents used by scholars for teaching and research, the search tools used, the strategies used to keep up-to-date in their disciplines, preferences for print or electronic books, the sources used to access documents, their preferred channels to disseminate their own research, and their views regarding library services. Main Results – The response rate was 12.7%. Based on the results, scholarly journals were the most used information resource for research across all academic disciplines, with 94% of respondents rating them as important. For teaching, faculty preferred to use textbooks for undergraduates, and journal articles for Master’s students. To search the literature, faculty chose bibliographic databases and Internet search engines over the library catalog and physical collections, although the catalog was the first choice for known-item searches. Respondents favored print to read entire books or chapters but preferred the electronic format for skimming. Of the respondents, 78% rated the library as an important channel to access resources, while 61% also considered free online materials important. If the material was not available at their library, 71% frequently chose to search for a free online version and 42% used the inter-library loan service. For their own research, faculty have published in scholarly journals more often than other channels and have selected the journal based on its impact factor (77.5% ranked it as important) and on its area of coverage (73.4%). When asked to rank library services, faculty placed paying for resources highest, with 86.2% identifying it as important. Next were facilitating teaching and helping students develop information literacy skills. Finally, a majority of faculty considered themselves highly dependent on the library. Conclusion – Journal articles are the most widely used information resource for research and teaching purposes, regardless of discipline. This includes arts and humanities, which are known for heavy monograph usage. Articles are also scholars’ preferred channel for publishing. With regards to books, faculty have mixed feelings about print and electronic formats. Spanish faculty display information behaviours similar to their British and American counterparts, as documented in the Ithaka S+R 2012 surveys. Blogs and social networks are not widely used in spite of growing attention to such channels for research output and altmetrics. Open access is also relatively unimportant for faculty when they choose where to publish. A majority of respondents still consider library services as important, for collections as well as teaching and learning support, which may present opportunities for librarians.

scholarly journals Multiple Databases are Needed to Search the Journal Literature on Computer Science

2015 ◽  
Vol 10 (4) ◽  
pp. 241
Author(s):  
Giovanna Badia
Keyword(s):  
Computer Science ◽  
Web Of Science ◽  
The Other ◽  
Bibliographic Databases ◽  
Science Literature ◽  
Science Journal ◽  
Journal Articles ◽  
Journal Literature ◽  
Bibliographic Records

A Review of: Cavacini, A. (2015). What is the best database for computer science journal articles? Scientometrics 102(3): 2059-2071. http://dx.doi.org/10.1007/s11192-014-1506-1 Objective – To compare the coverage of computer science literature in four bibliographic databases by checking the indexing of a selection of journal articles. The purpose of this comparison was to identify the most comprehensive database in computer science and determine whether more than one database is needed to search for articles on computer science topics. Design – Comparative database evaluation using citation analysis. Setting – Computer science journal literature found within the INSPEC, Scopus, Web of Science, and DBLP databases. Subjects – 1,135 computer science journal articles published by an Italian university’s researchers from 1979 to 2014. Methods – The University of Milan’s institutional repository (AIR), containing publications authored by the university’s researchers, was searched in October 2014 for journal articles that were assigned the subject heading “informatica” (the word for computer science in Italian). The author then searched the titles of these journal articles in each of the databases to check whether they were indexed. For articles indexed in all four databases, the author also examined the quality of the bibliographic records by looking for the presence of 20 elements (e.g., the “cited by” option, ranking of search results, precision of results, etc.) in each database’s record. These overlapping articles were also searched in Google Scholar to help compare the quality of the records between the databases. Main Results – Scopus indexed 75.86% of the journal articles found in AIR, Web of Science indexed 64.49%, DBLP indexed 61.15%, and INSPEC indexed 53.39%. Web of Science and INSPEC put together covered 74.80% of the articles, which is comparable to the amount indexed by Scopus. DBLP and Scopus contained the highest number of references to articles that were not found in the other databases, about 4% each. Out of the 1,135 journal articles, 391 (34.45%) were indexed by all four databases, with Web of Science scoring the highest for providing the best quality bibliographic records for these articles. Conclusions – According to the author, the findings showed that INSPEC, Scopus, Web of Science, and DBLP “complemented each other, in a way that neither one could replace the other” (p. 2068) when searching the computer science literature. While there was overlap between databases, they each also contained unique articles.

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