Browsing by Author "Yaroshenko, Tetyana O."

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Artificial Intelligence (AI) for Research Lifecycle: Challenges and Opportunities
(Ukrainian State University of Science and Technologies, Dnipro, 2023) Yaroshenko, Tetyana O.; Iaroshenko, Oleksandra I.
ENG: Objective. This article aims to review the progress of AI technologies concerning their potential impact on academia, research processes, scientific communication, and libraries. Methods. AI tools for research lifecycle and their potential impact on academia and libraries were identified from various sources, mostly from the most influential recent scientific publications. Results. AI has become a driving force nowadays, creating both opportunities and challenges. Transformative AI-powered tools, exemplified by advanced models like ChatGPT, Llama-2, Google Bard, Microsoft Bing, and Jasper Chat, among others, find versatile utility across a broad spectrum of contexts, extending their impact to research process and publishing, as well as to librarianship. The enthusiastic embrace of AI in research is tempered by a pervasive concern over the potential for data fabrication, which can significantly compromise ethical standards and academic integrity. There is an urgent need to understand corresponding opportunities, challenges, and dangers. Some aspects of the use of AI tools for different stages of the research lifecycle are considered, and the main advantages and risks are analyzed. Conclusions. AI has the potential to drive innovation and progress in a wide range of fields and possesses significant potential to propel academia and librarianship into both exhilarating and challenging new frontiers. While AI-powered tools represent major advancements and potential to significantly impact academia, scholarly research, publishing, and university libraries. Privacy and bias are just two examples of the ethical considerations that need to be made.
Digital Curation: Opportunities and Challenges for Ukrainian Libraries
(Ukrainian State University of Science and Technologies, Dnipro, 2024) Yaroshenko, Tetyana O.; Iaroshenko, Oleksandra I.
ENG: Objective. Today digital landscape continues to evolve rapidly, presenting libraries with the dual challenge of not only preserving digital content but also curating it. This is particularly pertinent given the needs of open science and open data, which emphasize searchability, accessibility, interoperability, and reuse (FAIR principles). Methods include a critical review of domestic and international publications on digital curation, official documents, and websites of Ukrainian libraries dedicated to open research data. Results. The current challenges necessitate the development of effective library strategies for digital curation and research data management and the enhancement of librarians' relevant skills through library education and lifelong learning. The paper examines key global trends in digital curation and explores the prospects for implementing these practices in Ukrainian libraries, especially in light of the National Open Science Plan and increased access to research data. The study argues that engagement in and leadership of digital curation practices could significantly transform the role, perception, and identity of academic libraries, thereby enhancing their ongoing relevance to research communities. Additionally, it emphasizes the necessity of advancing librarians' skills and competencies in digital curation and considers the complexities of collaborating with scholars in this context. Conclusions. The study's findings highlight the need to comprehensively consider digital curation as a new library function. It also underscores the role of university libraries in coordinating and advocating for these efforts at the institutional level. Additionally, it suggests the introduction of digital curation as a specialization within the library field, with roles such as data librarian (data curator) who could participate in research groups focused on data management. The article also concludes with an agenda for future research.
Open Access and Open Science Principles in Ukraine: What Researchers Think and How Librarians Can Help (Based on Selected Results from a 2025 Sociological Survey)
(Ukrainian State University of Science and Technologies, Dnipro, 2025) Yaroshenko, Tetyana O.
ENG: Objective. To examine the attitudes of Ukrainian researchers toward open access principles, open science, and research data management, as well as the role of libraries in promoting open science principles and practices, based on selected results from a sociological survey conducted by the State Scientific and Technical Library of Ukraine in April-August 2025. Methods. The study involved 702 respondents from various scientific disciplines and academic institutions, with librarians comprising nearly 10% of participants. The survey aimed to assess awareness levels, current practices, and readiness to implement open science approaches. Results. The findings demonstrate generally positive attitudes toward open access and open science while revealing limited practical implementation due to infrastructural, regulatory, or cultural barriers. Researchers identified key obstacles to sharing publications and data: lack of technical knowledge, uncertainty about legal aspects, absence of clear institutional policies, and inadequate organizational infrastructure. The survey also revealed significant gaps in researchers' knowledge regarding data management planning and FAIR principles. Academic libraries can and should fill these gaps as key intermediaries in the transition to open science through comprehensive researcher support: advocacy, training, consulting, development of publication and data repositories, assistance in creating metadata and data management plans. Conclusions. Academic libraries in Ukraine continue to actively participate in building open science and implementing its principles and practices. However, to ensure an effective transition to open science, they need to strengthen their role or even lead processes of creating and implementing institutional policies and data management infrastructure, developing systematic training, and providing comprehensive support to researchers at all stages of the research lifecycle.