CORE will be contributing seven accepted submissions to the 20th International Conference on Open Repositories (OR2025), taking place in Chicago, Illinois, USA, from 15–18 June 2025. These presentations highlight ongoing efforts to enhance open access, improve research discoverability, and address key challenges in the open repositories community.
From managing machine access in the era of generative AI to improving research classification and repository interoperability, each submission provides valuable insights for repository managers, academic institutions, and the wider open access ecosystem.
Highlights
Accepted Submissions
1. Managing Access to Open Repositories in the Age of Generative AI
Panel and Panel-led Discussion Submission
Authors: Matteo Cancellieri (CORE, KMi, The Open University), Martin Klein (Pacific Northwest National Laboratory), George Macgregor (The University of Glasgow), Kathleen Shearer (COAR), Allison Sherrick (Metropolitan New York Library Council), Petr Knoth (CORE, KMi, The Open University)
This panel will address the challenges repositories face as open access content is increasingly used for training large language models. It will explore balancing open access principles with the need to protect repository infrastructure, offering solutions and best practices.
Why this matters: Repository managers will gain insights into managing machine access while ensuring sustainability. Understanding the evolving repository access policies is essential for ethical and responsible AI use.
2. USRN Discovery Pilot: Increasing the Discoverability of Open Access Content Through a National Network
OR2025 Presentation Submission
Authors: Petr Knoth (CORE, KMi, The Open University), Paul Walk (Antleaf), Matteo Cancellieri (CORE, KMi, The Open University), Michael Upshall (CORE, KMi, The Open University), Halyna Torchylo (CORE, KMi, The Open University), Jennifer Beamer (SPARC), Kathleen Shearer (COAR), Heather Joseph (SPARC)
This presentation shares results from the USRN Discovery Pilot Project, a collaboration between SPARC, COAR, CORE, and Antleaf. The initiative enhances research discoverability in US repositories by leveraging CORE as an indexing service.
Why this matters: The project significantly improved indexed content by 50%, providing repository managers with valuable tools like the CORE Dashboard and the USRN Desirable Characteristics checking tool.
3. SDG-Classify: Automating the Classification of Research Outputs into UN SDGs
OR2025 Presentation Submission
Authors: Suchetha Nambanoor Kunnath (KMi, The Open University), Matteo Cancellieri (KMi, The Open University), Petr Knoth (KMi, The Open University)
SDG-Classify is a novel AI model that automatically classifies research papers according to UN Sustainable Development Goals (SDGs). Integrated into the CORE Dashboard, it helps Higher Education Institutions (HEIs) understand how their research aligns with global sustainability targets.
Why this matters: This tool simplifies SDG classification, providing actionable insights for institutions and supporting strategic research planning.
4. How do you describe software in record metadata?
Lightning Talk (or 24×7) Track Submission
Authors: Matteo Cancellieri (CORE, The Open University), Petr Knoth (CORE, The Open University)
This talk explores the challenges of representing open research software in metadata. It highlights gaps in current metadata formats and introduces the SoFAIR project, which aims to improve software descriptions.
Why this matters: Repository managers will gain practical guidance on enhancing metadata to improve the discoverability and reuse of research software.
5. Open Access Repositories Tracking Project
Poster / Minute Madness Submission
Authors: Petr Knoth (CORE, KMi, The Open University), Matteo Cancellieri (CORE, KMi, The Open University), David Pride (CORE, KMi, The Open University)
This research project improves global understanding of repository content by generating annual global statistics on open research papers. It addresses issues such as undiscoverable content, unregistered repositories, and duplication.
Why this matters: Repository managers can better benchmark and plan strategically. The whole of the scientific community benefits from an improved understanding of open science data.
6. Identifying and Extracting Data Access Statements from Full-Text Academic Articles
Presentation Submission
Authors: Matteo Cancellieri (CORE, KMi, The Open University), David Pride (CORE, KMi, The Open University), Petr Knoth (CORE, KMi, The Open University)
This presentation focuses on a new machine learning module developed by CORE to automatically identify and extract Data Access Statements (DAS) from full-text research articles. The tool streamlines metadata curation and improves transparency in research.
Why this matters: This tool reduces the manual workload for repository managers and enhances metadata quality, supporting better data-sharing practices.
7. Interoperable Verification and Dissemination of Software Assets in Repositories Using COAR Notify
OR2025 Presentation Submission
Authors: Matteo Cancellieri (CORE, The Open University), Martin Docekal (Brno University of Technology), David Pride (CORE, KMi, The Open University), Morane Gruenpeter (Software Heritage), David Douard (Software Heritage), Petr Knoth (CORE, The Open University)
This submission introduces the SoFAIR project (sofair.org), which leverages machine learning to extract software mentions from research papers to promote reproducible science. It integrates repository systems, authors, and services like HAL and Software Heritage to improve software discoverability.
Why this matters: The COAR Notify Protocol enables repositories to validate and disseminate software mentions, enhancing the visibility and credibility of research software.
Stay Tuned for More!
While these submissions have been accepted for OR2025, they have not yet been published. Keep an eye out for their official release from OR2025 to access full details, findings, and insights. Be sure to follow CORE for updates and announcements as these contributions become publicly available!