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This paper explores the adoption of cloud computing for digital preservation, focusing on the case of Preservica, a leading provider of software-as-a-service (SaaS)-based digital preservation solutions. This study aims to analyse Preservica’s approach to long-term active digital preservation (LTADP) based on internationally accepted standards.

The research paper conducts an in-depth analysis of Preservica’s SaaS-based cloud computing solution in relation to ISO 14721:2012 (OAIS) and ISO 9001 standards. It examines the steps followed by Preservica for LTADP and highlights the importance of adherence to relevant standards.

Preservica’s adoption of cloud computing and the SaaS model offers scalable, cost-effective and flexible solutions for digital preservation. By adhering to internationally accepted standards and following a comprehensive set of LTADP steps, including file format identification, compatibility checks, checksum creation, secure storage, preservation status tracking, change monitoring, format migration and periodic testing, Preservica ensures the long-term preservation and accessibility of digital content.

This research contributes to the understanding of how cloud computing can be effectively used for digital preservation by examining Preservica’s approach. It emphasizes the significance of adherence to internationally accepted standards and highlights the benefits of integrating acceptance models to optimize the implementation and user acceptance of Preservica.

This paper aims to explore how scholarly apps are changing the landscape of academic research by increasing mobility, accessibility and user engagement. It assesses the role of mobile-based applications in supporting research activities, enabling access to scholarly content and facilitating seamless communication between researchers and libraries.

A brief content analysis of prominent scholarly apps was performed to evaluate their prime features and usability.

Scholarly apps improve research mobility by offering on-the-go access to academic resources, databases, communication tools, personalized content recommendations and integrated automated citation tools. The integration of AI and machine learning into these apps holds potential for further personalizing and streamlining research processes.

Although certain discussed mobile apps are well known and frequently used by users, their value in the field of mobile technology remains significant. Despite their vast popularity, these apps continue to play a significant part in the mobile app ecosystem due to their proven efficacy, widespread acceptance and continuous relevance in meeting user demands.

To the best of the authors’ knowledge, this is one of the first studies to comprehensively evaluate the scholarly apps and contributes to the literature on mobile-based library services.

This study aimed to visualize the trend topics in the research area of library and information science (LIS) in India during 1989–2021.

The data was extracted from the Web of Science core collection database (WoSCC) database from 1989 to 2021. For creating the network visualization maps from the data, freely available softwares, VOSviewer (VV) and Biblioshiny (a Web-interface for bibliometrix), were used.

Results support the prediction that in the future, Indian LIS research will focus on areas such as deep learning, machine learning, artificial intelligence and block chain technology. Among the most prolific authors Satija, M.P (Guru Nanak Dev University, Amritsar) and Prathap, G (APJ Abdul Kalam Technology University) secured top positions in LIS research. Scientometric ranked the top journal or the core journal after applying Bradford law.

The visualization of trend topics in LIS research from 1989 to 2021, 32 years of time span, is the first of its kind.

The purpose of this study is to visualize the key literature on the topic “Open Educational Resources” using the research discovery tool “Litmaps”.

Litmaps visual citation navigation, the ultimate science discovery platform, is used for the present study. It provides an interface for discovering scientific literature, explores the research landscape and discovers articles that are highly connected to maps. Litmaps provides quick-start options to import articles from reference manager, keyword search, ORCID ID, DOI or using a seed article. In this paper, “keyword search” and research strategy “Open Educational Resources” or “OER” are put to use.

The findings of the study revealed that Litmaps gives citations between articles over time visually. The map generated is dynamic as it is adjustable for making the map according to the researcher’s needs.

Litmaps helps researchers in doing the literature review in a very brief and systematic way. It is helpful in finding the related or relevant studies through the seed paper/keyword search.

The study makes a useful contribution to the literature on this topic as one can independently find research topics and also compare topic overlapping. The study provides insights that help researchers in building citation maps and see connections between articles over time. The originality of the present paper lies in highlighting the importance of the research discovery tool Litmaps for the researchers as so far, to the best of the authors’ knowledge, no research has been taken place on using it.

User review is a significant component of mobile app markets such as the Google Play Store, App Store, Microsoft Store and others. Users submit their reviews for downloaded apps on these sites in the form of star ratings and text reviews. Apps can contain huge volumes of feedback, making it difficult for the user and the developer to skim through thousands of such reviews to get an insight into usage and impact of such apps. Thus, the current study aims to assess the usage and satisfaction among users of the Mendeley’s Android app vs iOS app.

The analytics are performed by using Appbot analytics software which captured, monitored, measured and analyzed the review results for a particular period. Appbot provides easy-to-understand insights of an app using artificial intelligence algorithm tools.

The findings of the study reveal strong inclination, adoption and usage of Mendeley’s Android app compared to that of iOS among users.

The value of this research is in getting an insight of the pattern/behavior of users towards using apps on different platforms (Android vs iOS) and provides valuable results for the app developers in monitoring usage and enhancing features for the satisfaction of users. Without mobile app analytics, one will be blindly trying out different things without any evidence to back up their experiments.

The recent COVID-19 pandemic affects all segments of the population in all possible fields of life. To encounter this critical situation and to safeguard the health of the library users & library staff, the library services have been forced to adapt and accept the “new normal” and give a greater use and reliance on virtual space than ever before with physical spaces. This paper aims to demonstrate an artificial intelligence (AI)-driven solution that can be practically implemented in the form of a “InfoBot” or “Chatbot” to fulfil user needs 24/7 with minimal or without human intervention.

To give a general overview of the use of AI Chatbot in libraries and its multitasking features followed by the practical implementation, a versatile AIchatbot service, Engati is used as a target bot with its basic free plan.

The study findings reveal that AI Chatbots offer a dependable solution for the libraries to initiate virtual assistance, thus augmenting the reference service while adding a newer dimension to virtual reference service.

Innovative and intelligent information service would be overcoming the time and location barriers reaffirming the concept of “library without walls” while falling in line with the five laws of library science as propounded by Dr S.R. Ranganathan, the father of library science in India.

Though the implementation of bots and chatbots is not a purely novel concept to explore, no such research has been conducted focusing particularly on its exceptional benefits in the library in reference to the recent pandemic.

This paper aims to discuss with an introductory narrative on the models and its role in the context of librarianship.

This paper explores the relationship between researcher development and library research support. The authors observed the interconnectedness of the two concepts and how this should be studied more with respect to librarianship. Five major higher education and researcher development–related models are examined to assess which would be more suited for library’s research support activities. Accordingly, Prof Linda Evans’ conceptual researcher development model, the Vitae Researcher Development Framework (RDF), the Research Skill Development Framework, Society of College, National and University Libraries Seven Pillars of Information Literacy model and Association of College and Research Libraries’ Standards for Libraries in Higher Education were reviewed. Review and examination of the frameworks, along with relevant literature on the topic, were examined.

The authors found that the Vitae RDF seemed most ideal, as it was comprehensive and detailed in presentation and could be used not just by the academic staff but also by librarians and researchers to their benefit.

Further studies and thorough review of recent educational and library-related frameworks and models are required from the lens of library research support.

Application of frameworks needs to be actively adopted by librarians.

There are few studies that have examined researcher development and research support in librarianship in conjunction. The present study has aimed to bridge this gap.

In distance education, massive open online courses (MOOCs) are recent innovative approaches, which strive to provide learning content to all the participants without any demographic-related barriers. The purpose of this research is to analyse and evaluate the popularity of two MOOCs platforms, Study Webs of Active-Learning for Young Aspiring Minds (SWAYAM) and Coursera, on an android app by pursuing the paradigm of mobile analytics and deep learning.

The analytics are performed by using the Web application AppFollow (AppFollow.io), which captured, monitored, measured and analysed the app review results.

The findings of the paper suggest MOOCs designers should consider sentiment analysis to check and evaluate users’ ratings and feedback to improvise its design.

The findings of the study will provide the necessary inputs and feedbacks to the app developers to understand the users’ problems, users’ perspectives and users’ requirement in a scientific and precise way. By removing the bugs and incorporating the value-added features, the MOOC platforms will become more productive and beneficial in terms of knowledge sharing, skill development and capacity building.

This research is novel in getting an insight into the behaviour of users towards usage of SWAYAM and Coursera apps on Android platforms through the AppFollow software and provides valuable results for the app developers in monitoring the feedbacks to enhancing the features for the satisfaction of users. The present analysis is expected to provide a benchmark for future research in this domain.

The study aims to profile the scientific retractions in the top five global universities and provide descriptive statistics on specific subjects.

The data for reasons behind retractions is manually extracted from the Retraction Watch Database. The top five global universities according to the Times Higher Education global ranking of 2024 are selected for this study.

The study found that Stanford University emerged with the highest number of retractions in the assessment across institutions in the field of basic life sciences and health sciences. Notably, the predominant reasons for these retractions were identified, with “unreliable results” being the most prevalent, accounting for 53 retractions. Following closely was the category of “errors in results and/or conclusions”, contributing to 51 retractions. MIT has the longest time between publication and retraction of any subject group, with an average of 1,701 days.

This study has some limitations, as it only analysed the retractions of the top five global universities.

The study provides a comprehensive analysis of retractions in academic publishing, focusing on reasons, time gaps, article types and accessibility categories across prestigious universities. The paper underscores the critical role of retractions in maintaining the integrity of scientific literature, emphasizing the importance of transparent correction and responsible peer review to ensure the reliability and trustworthiness of published research. Results show that common reasons for retractions include duplication, fake peer review and plagiarism, underlining the need for ethical research standards.