Refine
Document Type
- Article (2)
- In Proceedings (1)
- ZIB-Report (1)
Is part of the Bibliography
- no (4)
Keywords
- Bibliotheken (1)
- künstliche Intelligenz (1)
- open access (1)
- open access repositories (1)
The Fully Algorithmic Librarian (FAN) project explores application scenarios for algorithmic-intelligence(AI)-supported methods in academic libraries as central institutions for research support. To this end, the study builds on two algorithmic approaches for analyzing large-scale citation networks. A comparison of Web of Science (WoS) and OpenAlex structures using the PageRank algorithm reveals key differences. Additionally, a multi-label clustering technique designed for large-scale citation networks accounts for disciplinary variations in publication practices.
DeepGreen is an automated delivery service for open access articles. Originally conceived to take advantage of the so-called open access component—a secondary publication right in Alliance and National licences in Germany to promote green open access—it aims to streamline open access processes by automating the distribution of full-text articles and metadata from publishers to repositories.
The service, developed by a consortium and funded by the German Research Foundation (DFG) in its initial phase, has successfully established itself as a national service, facilitating open access content distribution and contributing to Germany's open access infrastructure.
As of December 2024, DeepGreen distributes articles from 14 publishers to 84 institutional repositories and 6 subject-specific repositories.
This article describes the role of the DeepGreen service in Germany, its collaboration with publishers and the potential of automated processes for storing articles in open access repositories, which, as publicly owned institutional infrastructures, ensure sustainable access and provide secure, redundant storage.
Der Bibliotheksverbund Bayern und der Kooperative Bibliotheksverbund Berlin-Brandenburg haben in einem gemeinsamen Ideenworkshop im Mai 2025 Potenziale, Herausforderungen, Projekteansätze und Handlungsbedarfe bei Anwendung Künstlicher Intelligenz in Bibliotheken analysiert und diskutiert. Für die Handlungsfelder Interne Geschäftsgänge, Bibliotheksdienste, Forschungsnahe Dienste, Informationskompetenz und Analyse von Nutzungsdaten wurden Bedarfe identifiziert, Projektideen entwickelt und Handlungsempfehlungen formuliert.
