Creative Commons Attribution 4.0 International license
Over the past 30 years, a rich ecosystem of scholarly information systems has developed that openly provide their services to the scientific community. These systems include aggregators of bibliographic metadata (e.g., DBLP, OpenCitations, OpenAIRE Graph, OpenAlex, ORKG, Semantic Scholar, CiteSeerX, and CORE); publication, data, and software repositories (e.g., Arxiv.org, Figshare, Zenodo, Software Heritage, and Dataverse); and PID authorities (e.g., ORCID, ROR, Crossref, and DataCite). This interdisciplinary Dagstuhl Seminar "Open Scholarly Information Systems: Status Quo, Challenges, Opportunities" (25381) was the first of its kind to bring together practitioners from this ecosystem, as well as researchers investigating related questions or relying on these systems in their own research. It provided a unique opportunity for dialogue, sharing insights, building new networks, and fostering collaboration.
@Article{bast_et_al:DagRep.15.9.38,
author = {Bast, Hannah and Cabanac, Guillaume and Manghi, Paolo and Wu, Jian and Ackermann, Marcel R.},
title = {{Open Scholarly Information Systems: Status Quo, Challenges, Opportunities (Dagstuhl Seminar 25381)}},
pages = {38--57},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2026},
volume = {15},
number = {9},
editor = {Bast, Hannah and Cabanac, Guillaume and Manghi, Paolo and Wu, Jian and Ackermann, Marcel R.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.9.38},
URN = {urn:nbn:de:0030-drops-249797},
doi = {10.4230/DagRep.15.9.38},
annote = {Keywords: artificial intelligence, knowledge graphs, open infrastructures, scholarly big data, scholarly information systems, semantic search}
}