OAR@UM Collection:/library/oar/handle/123456789/1362612025-12-25T14:55:01Z2025-12-25T14:55:01ZDOC6061 - Open access, OAR@UM and drUM/library/oar/handle/123456789/1395322025-10-03T07:46:34Z2025-01-01T00:00:00ZTitle: DOC6061 - Open access, OAR@UM and drUM
Abstract: The presentation explains the role of Open Access (OA) in providing free and reusable access to scholarly work and data. It introduces OAR@UM, the University of Malta’s institutional repository launched in 2014, which preserves and shares publications, theses, and other scholarly and cultural outputs. It also presents drUM, the University’s research data repository launched in 2023, which supports storage, versioning, and sharing of datasets curated directly by researchers. Both platforms, managed by the UM Library, enhance visibility, accessibility, and long-term preservation of research while ensuring quality control and compliance with OA principles.2025-01-01T00:00:00ZDOC6061 - Allies of open science : the influential role of statistics and library data repositories /library/oar/handle/123456789/1395312025-10-03T07:44:16Z2025-01-01T00:00:00ZTitle: DOC6061 - Allies of open science : the influential role of statistics and library data repositories
Abstract: The presentation, given to Doctoral School students, highlights the central role of research data in advancing science and stresses the importance of making it open, FAIR (Findable, Accessible, Interoperable, Reusable), and well-managed. It introduces Research Data Management (RDM) and Data Management Plans (DMPs) as essential tools for ensuring transparency, efficiency, and long-term preservation. The University of Malta’s repository, drUM, is showcased as a platform that increases visibility, accessibility, and reliability of research data, supporting collaboration and new discoveries.2025-01-01T00:00:00ZAI and its use in academic libraries/library/oar/handle/123456789/1391282025-09-22T07:58:35Z2025-01-01T00:00:00ZTitle: AI and its use in academic libraries
Abstract: This presentation, by Stefania Galea, introduces librarians to the fundamentals of Generative AI, including large language models and image generation. It provides an overview of key models and their potential applications in academic library workflows, with a focus on prompt engineering and role assignment. Through a hands-on activity, attendees gain practical experience in designing prompts and engaging with AI tools. The session also highlights real-life library use cases, while fostering critical discussion on the ethical, procedural, and strategic implications of integrating AI into academic library services.2025-01-01T00:00:00ZCataloguing book and journal extracts/library/oar/handle/123456789/1363862025-06-12T06:23:20Z2025-01-01T00:00:00ZTitle: Cataloguing book and journal extracts
Abstract: This guide provides cataloguing instructions for book chapters and journal articles treated as standalone extracts. Since these items are reproductions from larger works, specific cataloguing practices apply. The presentation outlines the required MARC fields, including descriptive notes for format (e.g., photocopy, offprint, facsimile), source details and adjustments to the LDR and 008 fields. The examples illustrate correct metadata entry, based on records from the Melitensia Department, which can also be applied to material in other collections.2025-01-01T00:00:00Z