International Journal of Information Science and Management (IJISM)
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Design of a Mobile Application for Providing Information to Advanced Level Students in Uganda
Full text linkEducation is the key to success in the existing world. Providing necessary information to students at the right stage of education that determines their future is useful to students, simplifies work, and reduces responsibilities for educators. Unfortunately, the existing ways of providing information to A'Level students in Uganda are unmodernized, and thus, important information is inadequately accessible to the students. Because of this, most students make uninformed decisions and study without focus. A prototype mobile application was designed to enable A'Level students to access necessary information about qualifications requirements, study materials, subjects, schools, etc. A rule-based method was also used to help students choose subjects that match their desired career options. The user interface design process followed a User-Centered Design approach to meet the students' requirements. SPSS software was used for analyzing the data, and results were obtained. The evaluation of the design showed that 95.76% of Advanced Level students who were participants agreed with the designed application prototype. This result indicated that A'Level students are interested in using mobile application technology to access information. This prototype design will ease students' getting information and ease educators' work, thereby saving the time wasted in attending to students physically to deliver all the necessary information.https://dorl.net/dor/20.1001.1.20088302.2022.20.2.2.7
A Survey of Retracted Articles from Three OIC Member Countries (Iran, Turkey, & Egypt) in the Web of Science (WoS)
Full text linkThe present study examines the retracted articles from three OIC member countries (Iran, Turkey, and Egypt) in the Web of Science (WoS). All articles from Iran, Turkey, and Egypt, published in the journals indexed in the WoS and retracted due to scientific misconduct, consisted of the research population. This analytical survey examined the retracted articles regarding research areas, periods, cumulative citations, and names of collaborating authors and countries by country, discipline, and field via scientometrics. With 38%, Iran has the most retracted articles in various fields and scientific fields. Most of the retracted articles are related to basic sciences, medicine, and engineering, respectively. In the analysis of statistics, the publisher of retracted articles, in Iran, Turkey, and Egypt, we can name two countries, the United States and the United Kingdom, which are among the publishers with many publishing activities in all countries. Considering that the number of retracted articles globally has increased significantly, informing researchers and those involved in scientific journals and regular monitoring of citation performance of journals can prevent similar events in the future.https://dorl.net/dor/20.1001.1.20088302.2022.20.1.16.
An Open Domain Factoid QA Framework with Improved Validation Techniques
Full text linkThe generic Question Answering (QA) framework processes questions by querying a knowledge base and extracting answers from retrieved passages using various Natural Language Processing techniques. The problem is validating whether the retrieved passages from the passage retrieval module contain expected answers to asked questions. Besides, extraction based on lexical and syntactic similarities alone is not enough coverage for scoring the correct answers in a QA framework. Therefore, this work aims to infuse validation techniques into the QA framework. Four similarity scores (Word Form (WF), Word Order (WO), Distance (DIST), and Semantic Similarity ( )) were implemented for Answer Extraction. Instant snippets returned by the Google search engine were used as a corpus to generate candidate answer sets. On a dataset of 1370 factoid questions, the proposed method achieved an accuracy of 77.71%, precision of 77.91%, recall of 91.37%, and F1-measure of 91.37%. The results show that the inclusion of the validation techniques helps reduce the time spent by the system in analyzing passages without possible answers. The proposed system could be adapted for automatic QA Systems and grading factoid computer-based tests.https://dorl.net/dor/ 20.1001.1.20088302.2022.20.1.5.
Knowledge Strategy Research Fronts and Intellectual Bases:Based on information visualization methodology
Full text linkAs an active and emerging research field, knowledge strategy receives extensive academic attention and acts as a compass for knowledge management strategy. The main purpose of our research is to discover and visualize emergent and transient grouping of concepts and underlying research issues and their citation and co-citation footprints in knowledge strategy scientific literature. Based on the publications from Web of Science core databases from 1965 to 2018, a total of 403 publications matched the search criteria of this study. CiteSpace is applied for visualizing and analyzing trends and patterns of knowledge strategy scientific literature. Google Fusion application is used to show data distribution of knowledge strategy. This study showed that the area distribution of knowledge strategy research is worldwide and has spread especially in the United States, Europe, and other countries. According to this study, knowledge strategy and management are the research front keywords with more citations. Zack (1999) and Alavi (2001) are knowledge strategy's most prominent intellectual bases. Identifying emerging trends and abrupt changes in knowledge strategy are among the results of this study.https://dorl.net/dor/20.1001.1.20088302.2022.20.4.17.
Global Research Trends in Research Data Management (RDM) – A Scientometric View
Full text linkThe study focuses on Research Data Management (RDM), aiming to demonstrate how RDM is evolving globally. It provides a systematic mapping of the current literature to aid in identifying core coverage and reflecting on potential trends using the scientometric technique. For detailed thematic analysis, performance analysis, network representation, science mapping, and scientific collaboration, this study used bibliometric tools such as the R package Biblioshiny, ScientoPy, and VOSviewer. Two premier indexing databases, SCOPUS and Web of Science, which extensively cover RDM literature, are appropriately considered. Furthermore, all retrieved documents are refined by language, document type, and irrelevant keywords for practical analysis. This study covers the Research Data Management (RDM) literature from 1926 to 2020, with 6263 documents published from 1666 sources and 15,545 authors. The most common domains discovered in RDM research are Computer Science, Library and Information Science. RDM is primarily familiar and cultivated in nations such as the United States, China, the United Kingdom, Canada, Germany, and Australia are pioneers in RDM research. The findings are vital for researchers working on RDM projects and policy formulation. This research helps to identify the literature's strengths and potential gaps. This secondary data contributes significantly to the scientific landscape in scientific production, network architecture, source clustering, and international collaboration, the evolution of dominant subjects and countries, and science mapping of productive word frequency.https://dorl.net/dor/20.1001.1.20088302.2022.20.4.8.
Steps for Creating two Persian Specialized Corpora
Full text linkCurrently, most linguistic studies benefit from valid linguistic data available at corpora. Compiling corpora is a common practice in linguistic research. The present study introduces two specialized corpora in Persian; a specialized corpus is used to study a particular type of language or language variety. For building such corpora, first, a set of texts were compiled based on pre-established criteria used in the sampling process (including the mode of the texts, type of the texts, domain of the texts, language/ language varieties of the texts and the date of the texts). The corpora are specialized because they include technical terms in information processing and management, librarianship, linguistics, computational linguistics, thesaurus building, managing, policy-making, natural language processing, information technology, information retrieval, ontology and other related interdisciplinary domains. After compiling data and Metadata, the texts were preprocessed (normalized and tokenized) and annotated (automated POS tagging); finally, the tags were manually checked. Each corpus includes more than four million words. Since not many specialized corpora are built in Persian, such corpora could be considered valuable resources for researchers interested in studying linguistic variations in Persian interdisciplinary texts.https://dorl.net/dor/20.1001.1.20088302.2022.20.4.14.
The Audience's Use of Social Media to Obtain Health Information and Gratification / Field Study
Full text linkThe research is concerned with studying the audience's use of social media in obtaining health information and their satisfaction. It aims to determine the hours of public use of social media, know the level of information, and know the level of health knowledge of the audience from social media. An intended sample of (200) members of the University of Baghdad employees and professors who use social media were chosen. The search reached results, the most important is that the audience always uses social media. Social media for long hours, the results indicate that the use of social media is linked to the achievement of gratifications with a significant relationship, which indicates that social media sites achieve what users want from them.https://dorl.net/dor/ 20.1001.1.20088302.2022.20.1.7.
Analytical Study on Building a Comprehensive Big Data Management Maturity Framework
Full text linkHarnessing big data in organizations today realizes benefits for competitive advantage. Generated profound insights are reflected in informed decision making, creating better business plans, and improved service delivery. Yet, organizations are still not recognizing how mature their big data management capabilities are. However, there is no structured approach to assess and build necessary capabilities for valuable big data utilizing, which draws a clear improvement pathway. Existing solutions lack a consistent perception of big data management capabilities, a reliable assessment, and a rigid improvement scheme. This paper contributes in building an analytical study on existing key works in assessing and building big data management capabilities. Drawing upon the results and gaps revealed from this analytical study, the main requirements for building a comprehensive big data management maturity framework are defined. This framework will enable organizations to assess and improve their current capabilities towards effective big data management.https://dorl.net/dor/ 20.1001.1.20088302.2022.20.1.13.
Virtualization System as a Decision-Making Report: A Case Study of the National Research Council of Thailand
Full text linkAccording to the administration of research data and funding for governmental organizations and funding agencies, the National Research Council of Thailand (NRCT) employs a National Research Management System (NRMS). NRCT needs different categories of data to provide information to various government departments to make policy decisions related to research funding. NRMS has so far collected a significant amount of such data. However, the tools needed for prompt analysis of such large amounts of data are inadequate. The purpose of this article is to discuss a multi-dimensional report system to provide enhanced information to support the decisions of policymakers. This involves creating reports with diverse views based on the numerous fields in the system, such as sorting by year, funding entity, ministry, department, policy and research strategy, and research issues, etc. and exhibiting a dashboard report to the officers and executives responsible for decision-making in the form of an overview of national research data by using Business Intelligence (BI). For the development of the report system, the research uses Tableau software. The officers who assessed the proposed report system expressed satisfaction, as shown by the outcomes of the user evaluations. A key feature mentioned was the ability to submit more reports to high-level administrators quicker.https://dorl.net/dor/20.1001.1.20088302.2022.20.4.2.1
The Articles Published in Web of Science by Middle Eastern Researchers in Waterpipe/Cigarette Smoking: An Altmetrics Study
Full text linkPolicymakers and experts should trust health studies. On the other hand, it should be considered by the general public. Altmetrics, as a new method, seeks to examine the social effects of researchers' scientific outputs along with citation analysis indices. The present study aims to investigate the effectiveness of the articles published by researchers in the field of waterpipe/cigarette smoking on the Web of Science database during 2010-2019. This paper is a descriptive-analytical study with a correlational approach in the citation analyses using the Altmetrics index. The statistical population consists of papers on waterpipe/cigarette smoking by Middle Eastern researchers during 2010-2019 published on the Web of Science. The data is extracted using the Altmetrics Bookmarklet and analyzed it by excel and SPSS.From the total number of scientific articles in the field of waterpipe/cigarette smoking by Middle Eastern researchers during the research period, 1,086 articles were indexed on the Web of Science, and only 2% of them had no Digital Object Identifiers (DOI) or PubMed Identifiers (PMID); on the contrary, 50% of the articles had Altmetrics scores. Among the social networks cited by the researchers of the Middle Eastern countries in the field of waterpipe/cigarette smoking, the shares of social networks, namely Dimensions, Mendeley, and Twitter, were the most. The most significant number of citations of the articles on Mendeley and Twitter belonged to U.S. and U.K. users. Also, medicine and dentistry had the highest number of Mendeley citations. The correlation coefficient between the altmetrics score and citation index was poor but significant (R=0.32, P <0.05). The publication of research papers on the social web (i.e., social networks) increases the visibility of the documents and makes them visible to a broad audience. This is effective in the future of citations of articles on citation databases. This further increases the qualitative performance indices of the papers by receiving more citations.https://dorl.net/dor/20.1001.1.20088302.2022.20.4.7.