Annals of Library and Information Studies

Open Access Publications from University Grants Commission Funded Research: A Bibliometric Study

2024-10-14T19:48:39+0530

Research funding agencies play a crucial role in shaping the impact and dissemination of scholarly research. As Open Access (OA) to research findings gains momentum, understanding the impact of funding agencies on OA publications becomes essential. This study explores the impact of open access publications resulting from research funded by the University Grants Commission (UGC), with a focus on the Indian context. It utilizes comprehensive publication data from the Scopus database, specifically where UGC is listed as a funding sponsor. The analysis is entirely based on Scopus data, with results drawn from entries where the term "UGC" appears. The study examines a total of 145,158 documents published as an outcome of UGC research funding. Among these, 36,662 (25.25%) were found to be OA publications. Despite being one third of total publications, these OA publications garnered significant attention, receiving 928,267 citations. This citation impact of OA publications highlights the importance and effectiveness of UGC funding in promoting open access publishing in research. The findings underscore the need for continued support and encouragement for open-access initiatives by research funding agencies to enhance the accessibility and impact of scholarly research.

Document Landscape and Generative AI: A Synthetic Term DHISCREMENT Postulated for Nomenclature of Scholarly Library Resources

2024-11-28T13:22:41+0530

Libraries are considered as storehouse of knowledge. Library acquires resources to satisfy the thirst for knowledge of the user community. A generic term ‘library documents’ is designated to the knowledge resources of libraries. Historically, ‘documents’ were used in legal perspective. Presently the notion ‘document’ is general in scope. The document horizon is found to be ever expanding. Adoption of the notion ‘document’ to designate library resources encountered semantic challenges. Defining documents and designating library resources as documents has ever been a dilemma to the librarians. Greatest of the library scientists like Paul Otlet and S R Ranganathan were of separate opinion regarding documents. Ranganathan defined documents on the basis of involvement of human intellect but included instrument generated records in the document category. The contemporary artificial intelligence (AI) influenced information scenario and application of generative AI in information generation extending the document landscape further. A lexicological warrant enforced the librimatic mind for postulation of suitable synthetic word ‘DHISCREMENTS’ to designate library documents of traditional sense for the sake of restoring semantic stability amongst documents and ‘library documents’.

The Landscape of LIS Education in India: Insights and Recommendations for the Future

2025-03-20T14:52:10+0530

This paper examines the current landscape of (LIS) Library and Information Science education in India, focusing on the program structures of Library Science in state and central universities, the types of courses offered, and the faculty strength. It also assesses the availability and clarity of information on university websites, regarding LIS programs. This study is based on data collected from the websites of state and central universities, LIS education in India. A comprehensive analysis of data was collected from the (LIS) Library and Information Science department’s websites. The complete list of state and central universities was taken from (UGC) University Grant commission’s website. Based on the findings, the paper provides several recommendations to improve the quality and relevance of LIS programs in India. The recommendations include clarifying faculty positions, enhancing the availability and accuracy of program information, and addressing identified gaps in the educational framework. By addressing these issues, the paper aims to contribute to the advancement of (LIS) Library and Information Science education in India, ensuring that future professionals are well-prepared to meet the evolving demands of the information landscape.

Artificial Intelligence and Machine Learning in Fraud Detection: A Comprehensive Bibliometric Mapping of Research Trends and Directions

2025-03-21T10:59:58+0530

This study presents a bibliographic analysis of emerging trends in applying artificial intelligence (AI) and machine learning (ML) to the detection and prevention of financial fraud and provides insights for future research. Bibliographic analysis on fraud data analysis helps researchers gain insight on research trends, research impact, and classification. Bibliometric analysis on fraud data analytics is helpful to researchers in getting insights on research trends, research impact and classification. However, research on fraud data analytics using machine learning is limited. The main objective of this quantitative analysis is to explore emerging trends in fraud data analytics and machine learning (ML) for financial crime detection and prevention. Bibliometric data has been collected from the Scopus database. One thousand four hundred eighty-three documents from the SCOPUS database have been analysed using VOSviewer. The data analysis divulges a growing interest in leveraging these technologies to strengthen financial crime detection. Fraud data analytics, Artificial Intelligence and Machine Learning are vital in identifying complex criminal patterns, strengthening companies in preventive vigilance, and ensuring fraud elimination. The study portrays the need for vigorous frameworks for the legislature, real-time analytics systems and more powerful tools and calls for integrating governments, financial institutions, and technology providers to strengthen prevention strategies and tackle financial crimes more effectively.

Ontological Framework for S. R. Ranganathan’s Theory of the Origin of Knowledge: Unveiling the Structural Essence of the “Brain Chamber” Concept

2024-11-08T15:01:40+0530

Creating an ontology on any subject is complex and intellectually demanding, requiring great attention to detail. This study attempts to develop an ontology (Brain Chamber Ontology) centred around S. R. Ranganathan’s Theory of the Origin of Knowledge and the concept of the Brain Chamber, as given in his seminal book, Prolegomena to Library Classification. The METHONTOLOGY approach, a mature ontology development method, was employed to achieve this. The created ontology was subjected to rigorous evaluation to ascertain its efficacy. SPARQL queries were formulated to assess the ontology’s performance, gauging its ability to provide meaningful answers. Additionally, the quality of the ontology was measured using the FOCA methodology. The built-in reasoners played a crucial role in verifying the internal consistency of the ontology. Its performance in responding to SPARQL queries suggests a robust representation of Ranganathan’s Theory of the Origin of Knowledge. Furthermore, applying the FOCA methodology underscored the ontology’s quality and adherence to established standards.

Patent Analysis in India: A Bibliometric Study

2024-11-29T11:20:10+0530

This paper aims to conduct a bibliometric analysis of the literature on patent analysis published by Indian researchers using the Scopus database from 2005 to 2024. Data is extracted from the Scopus database for the bibliometric study. Biblioshiny and VOSviewer are used as software to analyze the performance of the literature on patent analysis in India. ssThere is a fluctuation in the yearwise publication outputs and citations of the articles. Monika Gupta, R K Sastry, and A K Tiwari were the prominent authors. The institution “Jaypee Institute of Information Technology” in Delhi and the journal “Journal of Intellectual Property Rights” are identified as the pivotal places of origin of the articles. The article “Phycobiliproteins as a Commodity: Trends in Applied Research, patents and Commercialization” by Sekar Soundarapandian is the most cited article, published in 2008. The conceptual structure of the literature on patent analysis is analyzed and visualized using keywords co-occurrence to identify the emerging themes of the aforementioned topic. These findings assist practitioners, policymakers, and editors in further development.

Information Literacy Initiatives in Libraries of Select Indian Institutions of National Importance

2024-12-18T14:56:32+0530

The study examined how information literacy (IL) initiatives are managed and implemented within the libraries of select Institutes of National Importance from the perspective of librarians. The research employed a survey method using a Google Form questionnaire and a non-probability sampling technique to gather responses, with 38 librarians participating.

The findings indicate that library orientation sessions are one of the most impactful methods for providing services in selected libraries for delivering information literacy to users. Libraries face challenges in implementing or organizing information literacy due to a lack of active participation, limited staff expertise, resistance to change, or adoption of new methods. Researchers have proposed that faculty should be instrumental in motivating and mobilizing students to undertake information literacy programs that their libraries offer. The study reveals that no credit score system in institutions is awarded for participating in IL programs offered by their libraries. It is imperative that this model of add-on (2/3) credit scores in the academic curriculum may prove to be an important component in the academic learning outcomes of the students. The study suggests and concludes that there is an urgent need to work systematically on the policies and standards that offer guidelines and strategies for revamping information literacy by integrating the information literacy concept into the curriculum of HEI’s academic program for all categories of students (Undergraduate, Post Graduate, Professional Courses like B.Tech, M.Tech, M.BA, etc.) as a mandatory course.

A Study of Indian Theses on Applied Bibliometrics, Informetrics, Scientometrics and Citation analysis

2024-12-30T23:56:29+0530

Metric studies of scientific literature like bibliometrics and scientometrics are popular among the researchers in library and information science. The authors of this paper identified the theses in these subject fields which had used the principles of metric studies in India. Majority of theses was found from the Indian database of theses known as Shodhganga and rest from various credible sources. The authors also describe the challenges they faced while accessing data from Shodhganga and suggest possible solutions. 604 theses on the metric studies were identified and analysed for their metadata. Metric studies are showing generally an upward trend among the recent years, especially in the last decade. Tamil Nadu, southern most Indian state was found to be the most productive among the theses on metric studies. Universities from the same state seem to compete among themselves producing theses. Most productive research supervisors who guided the research theses were also identified. Different types of metric studies are also evaluated and their relationships are also explained.

Revisiting the APUPA Pattern: Analysing the Publication Fall Index in DNA Fingerprints Research

2025-01-12T12:51:54+0530

This research revisits the APUPA pattern, focusing on the DNA Fingerprints domain, and introduces the "Publication Fall Index" (PFI) as a quantitative indicator to identify subjects on the boundary between core and allied domains. Analysing publications from 1985 to 2014, core subjects such as Biochemistry, Genetics, and Molecular Biology, and Medicine consistently emerge. The study utilises Ranganathan's concepts and methodologies, including the APUPA arrangement, to define the hierarchical relationship between subjects. Through analytical formalism, the research introduces the concept of Relative Facet Strength (RFS) and its modification into PFI to address the impact of different article numbers. Findings reveal shifts in core subjects and the emergence of allied subjects over time. Notably, Agricultural and Biological Sciences, Immunology, Microbiology, and Environmental Science demonstrate significant PFI values, indicating their roles as core subjects. The study contributes to understanding knowledge organisation within DNA Fingerprints research, highlighting the dynamic relationship between core and allied subjects. This research underscores the utility of the APUPA pattern and PFI in delineating subject boundaries, aiding researchers in identifying core areas of study within interdisciplinary fields like DNA Fingerprints.

Research Trends and Collaboration at the University of Debrecen's Faculty of Informatics: A Bibliometric Analysis

2025-01-17T22:30:53+0530

This research investigates nearly two decades of publication effort and the emergence of a novel research domain within the Faculty of Informatics at the University of Debrecen, Hungary. Employing a descriptive bibliometric methodology, the study analyzes annual scientific output, average citation per document, document age, leading journals, and the collaborative networks among authors and institutions associated with the faculty. Additionally, it explores the types of Open Access and identifies key funding sources. The research tracks the frequency of specific terms and analyzes trend topics based on author keywords to identify major faculty research areas and their development over time. The researchers considered all scholarly publications affiliated with the Faculty of Informatics indexed in the Scopus database using the Scopus Affiliation Identifier. All Publications, which span from 2004-2023, were considered. Considering all scholarly publications in the English language, a total of 1006 documents were imported to MS Excel in CSV file format before further analysis. After removing incomplete entries, we conducted a bibliometric analysis using biblioshiny and VOSviewer software. Finally, we examined publication activities, types of open access, primary funding sources, and the collaboration network of the Faculty of Informatics at the University of Debrecen based on research objectives. Then, the result, discussion, and conclusion are drawn based on relevant data sources.