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\r\n - \r\n Yuanxi Fu: “Nanopublication for Documenting Scholarly Growth” - Many contemporary scholarly big-data infrastructures focus on the public-facing dimensions of scholarship, such as publications, funding records, citations, and institutional affiliations. In contrast, this talk explores how nanopublications might provide an infrastructure for documenting a scholar’s intellectual growth over time.\r\n
\r\n - \r\n Christian Meesters: “Software Provenance with Snakemake” - Why workflow managers are essential on HPC and how Snakemake automates reproducibility. Live demo: running a workflow, generating an HTML report with publication-ready figures, and exporting software metadata as a nanopublication, plus a mini visual knowledge graph via a single plugin.\r\n
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\r\n
\r\n\r\nIm Hands-on Lab erhalten die Teilnehmenden neben einem Überblick über die Aktivitäten des SIL auch eine praxisorientierte Einführung in Nanopublikationen. In der modernen Bibliotheks- und Forschungsdatenlandschaft stellt das Kuratieren von Metadaten und Forschungsdaten einen kontinuierlichen Prozess dar, an dem zahlreiche Personen und technische Systeme beteiligt sind. Diese Kuratierungsprozesse bleiben jedoch häufig unsichtbar, was die Koordination, Nachnutzbarkeit sowie die Einschätzung von Aufwand und Nutzen erschwert. Nanopublikationen bieten hierfür einen vielversprechenden Ansatz: Sie ermöglichen es, kleinste wissenschaftliche Aussagen oder Kuratierungsereignisse als eigenständige, zitierbare und maschinenlesbare Einheiten im Linked-Open-Data-Format RDF – dem Fundament des Semantic Web – zu veröffentlichen.
\r\n\r\nNach einer kurzen Einführung in die grundlegende Struktur von Nanopublikationen (Assertion, Provenance, Publication Info) vermittelt dieses Hands-on Lab die praktischen Grundlagen ihrer Erstellung. Mithilfe von Werkzeugen wie Nanodash und Nanopub Query werden exemplarisch Kuratierungsereignisse – etwa die Korrektur eines Metadatensatzes oder die Verknüpfung von Identifikatoren – als Nanopublikationen modelliert und publiziert.
\r\n\r\nDie Folien für die Session sind auf Zenodo unter der DOI 10.5281/zenodo.20302097 verfügbar.
\r\n\r\nBitte bringen Sie einen eigenen Laptop mit. Vorkenntnisse in Linked Data sind hilfreich, jedoch nicht zwingend erforderlich.
\r\n\r\nWeitere Informationen via https://bibliocon2026.abstractserver.com/program/#/details/sessions/74."
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\r\nSession title:
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\r\n
\r\nSession abstract:
\r\nCommunicating and reusing estimations of uncertainty and error is critical for interpreting scientifically relevant observations but currently hampered by poor consistency and documentation. These errors arise from diverse sources, including linguistic ambiguity, computational bugs, systematic biases, unstable measurements and missing data. Despite its central role in quality control, data integration, and decision-making, uncertainty is often underreported or informally expressed.\r\n\r\nNanopublications offer an ideal, structured, and machine-actionable framework to address this challenge by providing a scalable solution that transcends traditional, narrative-based methods. Their design combines precise assertions with rich provenance, allowing researchers to clearly state an observation or claim (e.g., regarding an error or uncertain measurement) while simultaneously linking to its full supporting history and context. Expressed as interoperable RDF triples, nanopublications are openly published on a decentralized network as FAIR Digital Objects, making this essential information easily discoverable, integratable, and processable by automated systems across various scientific domains.\r\n\r\nThe Metabolomics and Analytics Center (MAC) at Leiden Academic Center for Drug Research is developing a nanopublication-based reporting framework to capture three critical uncertainty types inherent in high-throughput mass spectrometry data: those related to detection limits/sensitivity, physical/chemical instabilities (such as evaporation or oxidation), and ambiguities from structural isomers.\r\n\r\nThis hackathon will leverage the MAC's developments to explore nanopublications as a universal, scalable, and machine-actionable mechanism for communicating errors, uncertainty, and related concepts across scientific domains, using metabolomics as a core case study.\r\n\r\nParticipants will be introduced to nanopublication principles and decentralized publication infrastructures through hands-on experience with user-friendly interfaces and templates. To lower barriers to participation, no technical prerequisites are assumed; participants only need to authenticate via ORCID in a browser [so come prepared with your ORCID credentials at hand!]. We'll show metabolomics examples from MAC that include uncertainty and error reporting. Participants are encouraged to bring their own examples of errors, uncertainties, and data quality issues from any scholarly domain. By the end of the hackathon, participants will have created and published nanopublications describing real error and uncertainty scenarios and gained practical experience with FAIR, machine-actionable error communication.\r\n
\r\nFor slides, see DOI: 10.5281/zenodo.18627181."
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