Biblioteka / Library

Objective. The article is devoted to determining the place of university repositories in the open science ecosystem, which form the research infrastructure at the institutional level. Methods. The article uses research methods such as: analysis, synthesis, comparison and generalization. Results. The landscape of open research services, the authors of which are leading European developers, is considered. The European experience of implementing innovative systems that meet the FAIR principles is presented. The infrastructure of open science in Lithuania is rapidly improving in accordance with EU requirements and adopted regulatory provisions at the institutional level. An extensive network of electronic resources of open access to scientific metadata at Mykolas Romeris University is presented, and at the institutional level the repository occupies an important place. One of the important links in promoting open access at the institutional level is the academic library. Liaison librarians carry out advisory, informational and explanatory work, in particular on the issues of archiving scientific works to the university repository among scientists and researchers, and who are empowered with such powers in accordance with the adopted open science policy at Mykolas Romeris University. In Ukraine, which is a candidate for membership in the European Union, the active implementation of open access systems in accordance with UNESCO requirements and EU Directives is becoming an urgent requirement. Conclusions. University repositories in Ukraine need: updating software and hardware, modernizing technical facilities, and improving experience with the modern systems. These steps towards open science at the institutional level require funding.

While Artificial Intelligence (AI) presents advantages in academic research, its improper use carries significant implications for academic integrity. Although AI can support language enhancement and streamline certain aspects of scholarly communication, the purpose of this study centers on the potential risks associated with the misuse of AI in academic research. Therefore, the emphasis of this research is on identifying and addressing the potential misuses of AI within academic practice – specifically, the over-reliance on AI-generated content and the gradual erosion of critical thinking skills.

Traditional teaching takes place in classrooms and lecture halls. Under the impact of digital technology, both teaching and independent study are changing. In this paper we focus on the role of academic library lies in the transition to e-learning, emphasizing the changes in library user behavior. Our approach is empirical and quantitative. At the Mykolas Romeris University in Vilnius we have started to investigate how students study, by collecting systematic observations on what students actually do while they are using our library facilities. We chose a method called Count The Traffic (TTT), which has be tested out and widely used in Norwegian libraries since 2006. TTT is based on regular tours of observation through the library at regular intervals throughout the day during one full week (or more). It uses a fixed set of categories that cover activities that are easy to observe without intruding, for instance whether a student is working with a book or a computer and whether she works in a group or alone. The method, which was developed by one of the authors, provides representative statistical data on a few major categories of behavior. The paper reports on the results of our first TTT survey in April 2+13, based on 6.500 observations, and interprets them in light of the qualitative changes we observe as well as the library’s strategic development plans. We expect that similar changes are occurring elsewhere and take a brief look at patterns of behavior observed in other academic libraries that have used the same instrument to study user behavior.