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Author

Agrey Kato

Bio: Agrey Kato is an academic researcher. The author has contributed to research in topics: The Internet & Information technology. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.

Papers
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Journal ArticleDOI
TL;DR: This study considered the development, awareness, adoption, and usage of digital library resources at the university level and the design of the DL discovery system was developed through Blacklight open-source software.
Abstract: This study considered the development, awareness, adoption, and usage of digital library (DL) resources at the university level. To develop and implement a successful electronic library resource system, it is vital to review the success factors and identify the most important technological aspects of DL resources. Electronic library information technology was described and grouped into several categories that influence user satisfaction in a DL context. These are open access to information, the facility of access, uncomplicated interface design, high quality of the communication process, Internet performance, performance assurance service, ease of communication via social network, and patron-driven acquisition. With these important features of DL services, the simplicity of accessing online information and the performance of DL utilities have become of paramount importance. Several research works were therefore reviewed and evaluated to determine the usability of DL services; thereafter, the design of the DL discovery system was developed through Blacklight open-source software.

8 citations


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17 Jul 2013
TL;DR: The results of a national survey conducted in the summer of 2006 of academic librarians' attitudes toward open access principles and related behaviors as discussed by the authors showed that attitude responses were largely positive, there were differences in levels of support related to respondents' job descriptions and funding of open access activities.
Abstract: Academic libraries are becoming increasingly involved in scholarly communication through work with institutional repositories and other open access models. While academic librarians are being encouraged to promote these new models, their opinions about open access have not been documented. This article reports on the results of a national survey conducted in the summer of 2006 of academic librarians’ attitudes toward open access principles and related behaviors. While attitude responses were largely positive, there were differences in levels of support related to respondents’ job descriptions and funding of open access activities. Surveyed librarians appear to be more comfortable with tasks that translate traditionally held responsibilities, such as educating others, to the open access environment. Most significant is the discrepancy between stated support of library involvement in open access initiatives and significantly lacking action toward this end. The results offer insight into how open access proponents may better focus their advocacy efforts.

59 citations

Posted Content
TL;DR: It has been found that maximum users are using equally printed and electronic resources for their academic purposes, while majority of users under study prefer e-resources while only a few of them prefer printed resources.
Abstract: This present study has been conceived to study the status of usage of E-Resources available under INDEST-AICTE Consortium by the Library Users of NIT, Silchar. Descriptive Research Method (Case Study of NIT Library Users) was adopted using self designed questionnaire incorporating some modification from the previous study conducted on usage of e-resources available under UGC-INFONET Digital Library Consortium by Sinha (2010). The study was conducted on NIT Library Users which comprises of faculty members, Research Scholars, UG and PG Students perusing Engineering and Management Courses. The study comprises of administration of questionnaires to the participants for knowing their skills in accessing information/e-resources for their academic and research activities. Altogether 180 questionnaires were distributed to the respondents and 132 responses were received. The study was conducted during the period February to June 2013. The data collected from the administered questionnaire were analysed, tabulated and represented in graphical form using Microsoft Excel. The study shows that most of the respondents are aware of the INDEST-Consortium and are using e-resources, mainly the e-journals, frequently for seeking information. While analyzing data, it has been found that maximum users are using equally printed and electronic resources for their academic purposes. It is interesting to note that majority of users under study prefer e-resources while only a few of them prefer printed resources. Majority of respondents have suggested that the authority should provide adequate Internet Terminals with high speed of bandwidth for optimum utilisation of e-resources available under INDEST-AICTE Consortia.

3 citations

Journal ArticleDOI
TL;DR: In this article , the authors identify key features of the digital library management system (DLMS) for developing and managing digital libraries, to reveal the satisfaction level of the library professionals in using digital library system, and the problems being encountered in using these systems.
Abstract: The main objectives of the study were to identify key features of the digital library management system (DLMS) for developing and managing digital libraries, to reveal the satisfaction level of the library professionals in using digital library management system, and the problems being encountered in using these systems. The current study was quantitative in nature as quantitative measures were applied through a survey research strategy. Keeping in view the nature of the study, a purposive sampling technique was used to collect data from the target librarians who had been involved in operating digital library systems for building digital libraries in their respective libraries. Descriptive and inferential statistical tests were used to analyze the data. Findings revealed that in most of the university libraries in Pakistan, free and open source software (FOSS) had been implemented. DSpace was the most widely used software by library professionals in Pakistan. Key features of the digital library software included a user-friendly interface, customization, reliability and security, use of metadata standards (Dublin Core), web-based, advanced searching, consultancy and technical support, sharing e-books to devices (mobile, tabs), full-text searching, use of Boolean operators, and access control. The study recommended that library professionals of universities should be careful in planning library digitization and they should consider the above features before implementing any digital library software in their libraries.

1 citations

Journal ArticleDOI
TL;DR: In this article , the acceptance and utilization of electronic resources in research and learning among users of the College of Health Sciences Library of the University of Ghana was investigated, and the study employed a survey research design along with a quantitative approach to collect data from 128 respondents.
Abstract: University libraries play a critical role by facilitating the use of their electronic resources and facilities available for students’ learning and research activities. Health and medical students and professionals are expected to use the electronic resources provided for their academic and research work. This study, therefore, seeks to investigate the acceptance and utilization of electronic resources in research and learning among users of the College of Health Sciences Library of the University of Ghana. The study employed a survey research design along with a quantitative approach to collect data from 128 respondents. A questionnaire was used for data collection, and it was analysed using the Statistical Package for the Social Sciences version 22 (SPSS) software. The study found that a majority of the respondents were aware of the electronic resources provided by the library, and they used various types of e-resources such as Google, Wikipedia, ScienceDirect and PubMed electronic sources. Moreover, the study found that the computer literacy skills of users have a positive relationship with the awareness of e-resources. Furthermore, there is no significant relationship between gender and the perceived usefulness of the use of e-resources. Last but not the least, the high cost of personal internet data and low internet bandwidth were challenges encountered by most of the respondents when accessing e-resources. The study made the following recommendations, among others, regular training on the use of e-resources, and libraries must collaborate effectively with lecturers to create awareness in the lecture hall and also some of the e-resources should be part of teaching instruction.

1 citations

Journal ArticleDOI
TL;DR: Compared with the two methods of automatic text classification and one-to-many classification, the global optimization classification has the highest accuracy in the sample size of each interval and finds a better algorithm.
Abstract: A digital library is a digital information resource system supported by modern high technology, a next-generation information resource management model on the Internet, and the result of the digitization of library collections, and with the development of society and the accelerated pace of people's lives, people cannot spend too much time classifying and finding books, so the study of book classification and quick finding in university libraries is very important. This paper mainly researches and analyzes the classification and quick search of books in the university library through the algorithms and methods of digital information technology and finds a better algorithm. This paper mainly conducts experiments on automatic text and support vector machine (one-to-many and global optimization) methods and compares the obtained experimental data, such as classification accuracy, classification time, search time, and other data. The experimental results show that the classification accuracy of these three classification methods is in the range of 86%–94%. However, compared with the two methods of automatic text classification and one-to-many classification, the global optimization classification has the highest accuracy in the sample size of each interval. Among them, the classification time is the lowest for automatic text classification, which is less than 30s, and the one-to-many classification sample takes the most time, and their average fitness is in the range of 24%–27%.

1 citations