DESIDOC Journal of Library & Information Technology最新文献

{"title":"Building Immersive Library Environment to Access Virtual Reality Content A Proposed Framework Model","authors":"S. Roy, U. Kanjilal, B. Sutradhar, S. K. Jalal","doi":"10.14429/djlit.42.3.17719","DOIUrl":"https://doi.org/10.14429/djlit.42.3.17719","url":null,"abstract":"Immersive environments refer to a computer-simulated 3-dimensional virtual world. Libraries worldwide have been adopting and implementing new immersive technologies to enhance users’ experience and learning. The Central Library of IIT Kharagpur offers (i) web-based augmented reality (WebAR), (ii) virtual reality (VR), and (iii) data visualisation immersive services. This research investigates the users’ perceptions on factors that influence their satisfaction with WebAR/VR services. The study surveyed 135 random users to note their immersive library experience; out of them, only 100 users responded to our survey. The results show that 90 per cent of the respondents were satisfied with our services. Secondly, the respondents revealed that data privacy, health, and safety were some of the critical factors that influenced their satisfaction. Further, 14 per cent were apprehensive in terms of their health & safety. In fact, these users reported vision problems, disorientation, dizziness, sweating, and nausea. Based on the data collected, we prepared a framework, using The DELOS DL reference model for information delivery, along with educational and research activities. We believe that this study would lend crucial insights to academic libraries that may be planning to adopt and implement AR/VR as part of their immersive environment.","PeriodicalId":368533,"journal":{"name":"DESIDOC Journal of Library & Information Technology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114474412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Indonesia Triple Helix Digital Platform Model in Knowledge Sharing for Product Innovation Collaboration","authors":"Shidiq Al Hakim, D. I. Sensuse, Puri Indah Lestari","doi":"10.14429/djlit.42.3.17796","DOIUrl":"https://doi.org/10.14429/djlit.42.3.17796","url":null,"abstract":"The research gap between research institutions or universities and industry is still happening today. That arises because there has not been a maximum research collaboration between academic research and industry. This study aimed to develop a triple helix digital platform model in the product innovation ecosystem. Soft Systems Methodology (SSM) was chosen to conduct proposed scientific contributions in knowledge management in the triple helix digital platform model, especially knowledge sharing in product innovation. Data collected through the literature review and interview process with one researchers and two Small and Medium Enterprise (SME) owners, the seven stages of the SSM are used to analyse the results. This research resulted in a conceptual model and a prototype of a digital platform design with a strong foundation for knowledge sharing product innovation in the digital platform ecosystem. This prototype application will support collaboration between researchers and Small and Medium Industries to product innovation.","PeriodicalId":368533,"journal":{"name":"DESIDOC Journal of Library & Information Technology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133407413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysing and Examining Taxonomy and Folksonomy Terms in the Hybrid Subject Device using Machine Learning Techniques","authors":"Swarnali Chatterjee, R. Das","doi":"10.14429/djlit.42.3.17554","DOIUrl":"https://doi.org/10.14429/djlit.42.3.17554","url":null,"abstract":"The information retrieval system contains either a list of subject terms (taxonomy) or a list of collaborative tags (folksonomy) or both. The taxonomy and folksonomy come together as called hybrid subject devices. The main purpose of this paper is to apply machine learning techniques in the dataset from the library domain like others and analyse a large quantity of data for critical problems with accuracy. This research reveals to perform EDA (Exploratory data analysis), prediction analysis, and similarity measurement between folksonomy and taxonomy terms with new emerging technologies. Data science deals with big data that means unstructured data, messy data, a large volume of data. The size is of a large amount of data in terms of GB, TB. Machine learning tools manage this type of data. Usually, the Excel, or other spreadsheets package could not manage the file size in GB or TB, and that’s why ML tools, and techniques are applied. At present, the library science domain also contains a large amount of data like 20/30 years of circulation data or subject descriptors, collaborative tags etc. Library professionals can apply machine learning tools for analysing this kind of data in the library domain. In this paper, the authors have introduced the applications of tools and techniques in the library domain and they have tested with 2642 taxonomy and folksonomy terms. This research work includes – EDA, prediction analysis, and similarity measurement of a folksonomy and taxonomy dataset. In the EDA part, the research work has performed a lot of analysis that includes frequency of LCSH (Library of Congress Subject Heading - taxonomy) terms, pair plots, joint plots, and heat map of LCSH and folksonomy terms. The logistic regression (LR) model for prediction analysis has been used in the folksonomy and taxonomy dataset. These 2642 terms of folksonomy and taxonomy both terms are taken as data for this research work. The EDA has been performed with the attributes in the dataset. The accuracy value of logistic regression (f1- score) is 0.37 at the training percentage of 69. The percentage of similarity between LCSH terms and folksonomy terms is 30 per cent (0.30151134), and the angle between these two vectors is 27 degrees. The novelty of this research work is that library data has been analysed using machine learning techniques the ever used before.","PeriodicalId":368533,"journal":{"name":"DESIDOC Journal of Library & Information Technology","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115962005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Reading Habits between Research Scholars and Postgraduate Students of Pondicherry University A Survey","authors":"C. K. Ramaiah, Bonty M. Daimari","doi":"10.14429/djlit.42.3.17603","DOIUrl":"https://doi.org/10.14429/djlit.42.3.17603","url":null,"abstract":"This study examined the reading habits among Research scholars and Postgraduate (PG) students in Pondicherry University. Out of the 13 schools of Pondicherry University, 6 schools were selected for the study based on simple random sampling. The purposes of using the various types of reading materials, the accessibility and the use of the Internet and online reading materials and the problems faced while reading were looked at in this study. The survey method and questionnaire tool are used in conducting this study. The findings highlighted some of the factors related to reading habits and interest in Pondicherry University. The study is expected to stimulate further in-depth studies that may help improve reading habits and interests and increase the value of the Central library of Pondicherry University. The findings also revealed that their reading habits changed after joining the university. Most respondents enjoy reading for pleasure and read 2-3 hours during weekends and 4-6 hours during exam days, preferably during the night. While reading, they took small breaks and their break time varied from 5-20 minutes. The majority of them are reading to gain knowledge, preparing for exams. Most of them also confirmed that their reading certainly impacted their academic performance and helped in their vocabulary, learn new facts, and gaining more knowledge. It is observed that the majority of the Research Scholars and PG Students stated the main reasons that are negatively affecting their reading habits is because of their busy schedule of classes. The majority of the respondents indicated that due to lack of concentration, they are not able to read well.","PeriodicalId":368533,"journal":{"name":"DESIDOC Journal of Library & Information Technology","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122103025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Web 2.0 Applications in Open Access Institutional Repositories of Asia","authors":"A. Khan, Fayaz Ahmad Loan, Syed Aasif Ahmad Andrabi","doi":"10.14429/djlit.42.3.17473","DOIUrl":"https://doi.org/10.14429/djlit.42.3.17473","url":null,"abstract":"The primary purpose of the present study is to find out the adoption of Web 2.0 tools in social science repositories of Asian countries. Open access repositories were selected from OpenDOAR in the year 2021. Later, websites of all repositories were manually checked to identify the existence of Web 2.0 tools. The results revealed that Japan has established the maximum number of open access digital repositories in Asia, followed by Indonesia, Turkey, India, and China. The study shows that out of the total 101 social science institutional repositories found in these top five Asian countries, only 92 repositories were operational, and the rest weren’t accessible. From the operational repositories, 31.60 per cent (30) were Web 2.0 enabled, and 69.40 per cent (62) hadn’t incorporated Web 2.0 in their repositories. The highest number of Web 2.0 enabled repositories was found in Turkey, followed by Indonesia and China. Japan has the highest number of OA repositories but lags behind Turkey, Indonesia, and China in Web 2.0 enabled repositories. The least number of Web 2.0 enabled repositories were found in India among these countries. RSS feeds and Atom were the most used Web 2.0 tools in these institutional repositories.","PeriodicalId":368533,"journal":{"name":"DESIDOC Journal of Library & Information Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130360175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Encryption Dispute Resolutions under Intermediary Guidelines of Information Technology Act Challenges and Future Framework","authors":"Amaresh Jha, Anuradha Jha","doi":"10.14429/djlit.42.3.17869","DOIUrl":"https://doi.org/10.14429/djlit.42.3.17869","url":null,"abstract":"This study introduces, explores and enlists the challenges of dispute resolution pertaining to data encryption and recommends for a policy framework for systematically addressing the grievances of social media users and intermediaries. Data encryption is essential component of ensuring privacy between the sender and receiver of the message. Any law which asks for the decryption key from the intermediaries to trace the originator of the message requires a deeper understanding of the encryption architecture. It seems that there is a gap in technology and law making pertaining to data encryption which needs to be resolved using a techno-legal framework. The data used in this study stems from an online survey carried out in India by Local Circles. The findings indicate that majority of the Social Media users are in favour of strict regulations. In line with what people think, the intermediary guidelines under the Information Technology Act makes it mandatory for the intermediaries (Social Networking Sites) to comply with the rules. But, there is lack of techno-legal framework to ensure that all disputes pertaining to data encryption and social media regulation will get resolved keeping a balance.","PeriodicalId":368533,"journal":{"name":"DESIDOC Journal of Library & Information Technology","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123323255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Webometric Study of Selected International Library Association Websites An Evaluative Study","authors":"P. Dhar, Mithu Anjali Gayan","doi":"10.14429/djlit.42.3.17772","DOIUrl":"https://doi.org/10.14429/djlit.42.3.17772","url":null,"abstract":"The official website of any organisation provides authentic information about it. The current study is a novel attempt to explore international library association websites and assess those websites based on web content evaluation and webometric parameters. Several library websites have been analysed by researchers. However, the same has not been attempted regarding the library association website at the international level. International library associations indexed by American Library association’s website were taken as the sample. Data were collected using a link analysis tool from https://moz.com/ which helps in determining Domain Authority, Page Authority, in-links, and out-links; Google was used for the links. Official websites of the library associations were visited for the website evaluation with a well-structured checklist having 19 criteria. International Association of Law Libraries is found to have the highest simple web impact factor and external web impact factor. In contrast, the Association of Jewish Libraries has the highest internal web impact factor. All the websites examined in this study are hosted under the .org domain. The study revealed that 7 out of 8 (87.5 %) international library association websites’ Domain Authority and Page Authority is below 50. Essential information like customer service, currency, and FAQ are not available on the websites. The results of this study will help the library associations in re-structuring and better maintenance of their website.","PeriodicalId":368533,"journal":{"name":"DESIDOC Journal of Library & Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117209673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometric Analysis of the Coronavirus Research Publications Data before and after the Outbreak of the COVID A Comparison","authors":"Sainul Abideen P","doi":"10.14429/djlit.42.3.17350","DOIUrl":"https://doi.org/10.14429/djlit.42.3.17350","url":null,"abstract":"This study analyses the research publications data about Coronavirus before and after the Covid-19 outbreak, to answer vital questions relevant to the Coronavirus research. The objectives of this study are to compare the Coronavirus research publications and tries to distinguish the pre and post Covid-19 outbreak trend in Coronavirus research, in the context of research areas, publications growth pattern, country and institutional contributions, funding agencies, language distribution, publishers and journal preferences, etc. It also tries to visualise the institutional and country-wide collaboration patterns in the Coronavirus research using the VOSviewer visualisation software. This study is based on the data retrieved from the Web of Science database for two time-frames, such as 1965 to 31st December 2019, and 1st January 2020 to 30th June 2021. This study reveals that, 89 per cent of the Coronavirus research publications were brought out after the Covid-19 outbreak, and research on Coronavirus has been undertaken in diversified areas in contrast to the prior period where it was mainly on virology, veterinary science, infectious diseases, microbiology, immunology, etc. It shows that USA and China continued to stand on top of the Coronavirus publications share, and the research collaboration between various countries and institutions has improved during 2020-21. It shows that over 97 per cent of the Coronavirus publications are in the English and the majority of the publications are in the journals published by Elsevier in both periods. During 2020-21 the Journal of Virology lost its upper hand in publishing the Coronavirus research publications.","PeriodicalId":368533,"journal":{"name":"DESIDOC Journal of Library & Information Technology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115615550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collection and Services of Government Libraries in Delhi","authors":"Kimi Mahawariya, Meera Yadav","doi":"10.14429/djlit.42.2.17254","DOIUrl":"https://doi.org/10.14429/djlit.42.2.17254","url":null,"abstract":"The present study aims to find out the collection development and management, library services, library staff, library budget, and ICT technology in the selected six libraries of the central government ministries viz. Ministry of Law and Justice, Ministry of Corporate Affairs, Ministry of Agriculture and Farmers Welfare, Ministry of Commerce and Industry, Ministry of Housing and Urban Affairs and Ministry of Consumer Affairs, Food and Public Distribution that are situated in Delhi by way of collecting their qualitative and quantitative data on aforesaid parameters which could be directly related to their overall development. There are various studies on various types of government libraries however no study on ministerial libraries of the government of India has been done before. The research was designed through a structured questionnaire that aimed at collecting information about the overall collection, management, and functions of the libraries and subsequently, the librarians or heads of selected libraries alongwith their staff were approached for collection of the data specific to the structured questionnaire. Findings of the study show that these libraries are lacking professional skilled staff as well as the unavailability of adequate ICT components. Furthermore, there is a lack of proper information services which is hindering their overall development. Since these libraries are special libraries in nature and consists of a rare and useful collection related to their respective Ministry, hence, evaluation and study of these libraries to know their developmental status will be helpful to the library users.","PeriodicalId":368533,"journal":{"name":"DESIDOC Journal of Library & Information Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127298032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometric Analysis of Latent Dirichlet Allocation","authors":"Mohit Garg, Priya Rangra","doi":"10.14429/djlit.42.2.17307","DOIUrl":"https://doi.org/10.14429/djlit.42.2.17307","url":null,"abstract":"Latent Dirichlet Allocation (LDA) has emerged as an important algorithm in big data analysis that finds the group of topics in the text data. It posits that each text document consists of a group of topics, and each topic is a mixture of words related to it. With the emergence of a plethora of text data, the LDA has become a popular algorithm for topic modeling among researchers from different domains. Therefore, it is essential to understand the trends of LDA researches. Bibliometric techniques are established methods to study the research progress of a topic. In this study, bibliographic data of 18715 publications that have cited the LDA were extracted from the Scopus database. The software R and Vosviewer were used to carry out the analysis. The analysis revealed that research interest in LDA had grown exponentially. The results showed that most authors preferred “Book Series” followed by “Conference Proceedings” as the publication venue. The majority of the institutions and authors were from the USA, followed by China. The co-occurrence analysis of keywords indicated that text mining and machine learning were dominant topics in LDA research with significant interest in social media. This study attempts to provide a comprehensive analysis and intellectual structure of LDA compared to previous studies.","PeriodicalId":368533,"journal":{"name":"DESIDOC Journal of Library & Information Technology","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132221950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}