BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Knowledge Pixels//Nanodash//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Nanopublications Hackathon X-WR-CALDESC:A two-part hackathon on 13 February 2026 taking place in Leide n as part of the Perspectives on Scientific Error conference (11-13 Februa ry 2026).
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\nSession title:
\nMaking Errors and Uncertain ty FAIR: A Nanopublications Hackathon for Machine-Actionable Scientific Er ror Reporting
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\nSession abstract:
\nCommunicating and re using estimations of uncertainty and error is critical for interpreting sc ientifically relevant observations but currently hampered by poor consiste ncy 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 underrepo rted or informally expressed.\n\nNanopublications offer an ideal\, structu red\, and machine-actionable framework to address this challenge by provid ing a scalable solution that transcends traditional\, narrative-based meth ods. Their design combines precise assertions with rich provenance\, allow ing researchers to clearly state an observation or claim (e.g.\, regarding an error or uncertain measurement) while simultaneously linking to its fu ll 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 scient ific domains.\n\nThe Metabolomics and Analytics Center (MAC) at Leiden Aca demic Center for Drug Research is developing a nanopublication-based repor ting framework to capture three critical uncertainty types inherent in hig h-throughput mass spectrometry data: those related to detection limits/sen sitivity\, physical/chemical instabilities (such as evaporation or oxidati on)\, and ambiguities from structural isomers.\n\nThis hackathon will leve rage the MAC's developments to explore nanopublications as a universal\, s calable\, and machine-actionable mechanism for communicating errors\, unce rtainty\, and related concepts across scientific domains\, using metabolom ics as a core case study.\n\nParticipants will be introduced to nanopublic ation principles and decentralized publication infrastructures through han ds-on experience with user-friendly interfaces and templates. To lower bar riers to participation\, no technical prerequisites are assumed\; particip ants only need to authenticate via ORCID in a browser [so come prepared wi th your ORCID credentials at hand!]. We'll show metabolomics examples from MAC that include uncertainty and error reporting. Participants are encour aged to bring their own examples of errors\, uncertainties\, and data qual ity issues from any scholarly domain. By the end of the hackathon\, partic ipants will have created and published nanopublications describing real er ror and uncertainty scenarios and gained practical experience with FAIR\, machine-actionable error communication.\n

\nFor slides\, see DOI: 10.5281/zenodo.18627 181. BEGIN:VEVENT UID:https://w3id.org/spaces/PSE8/Nanopublications-Hackathon DTSTAMP:20260819T025855Z SEQUENCE:29516519 LAST-MODIFIED:20260213T135945Z DTSTART:20260213T085000Z DTEND:20260213T155500Z SUMMARY:Nanopublications Hackathon DESCRIPTION:A two-part hackathon on 13 February 2026 taking place in Leiden as part of the Perspectives on Scientific Error conference (11-13 Februar y 2026).
\n
\nSession title:
\nMaking Errors and Uncertaint y FAIR: A Nanopublications Hackathon for Machine-Actionable Scientific Err or Reporting
\n
\nSession abstract:
\nCommunicating and reu sing estimations of uncertainty and error is critical for interpreting sci entifically relevant observations but currently hampered by poor consisten cy and documentation. These errors arise from diverse sources\, including linguistic ambiguity\, computational bugs\, systematic biases\, unstable m easurements and missing data. Despite its central role in quality control\ , data integration\, and decision-making\, uncertainty is often underrepor ted or informally expressed.\n\nNanopublications offer an ideal\, structur ed\, and machine-actionable framework to address this challenge by providi ng a scalable solution that transcends traditional\, narrative-based metho ds. Their design combines precise assertions with rich provenance\, allowi ng researchers to clearly state an observation or claim (e.g.\, regarding an error or uncertain measurement) while simultaneously linking to its ful l 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 scienti fic domains.\n\nThe Metabolomics and Analytics Center (MAC) at Leiden Acad emic Center for Drug Research is developing a nanopublication-based report ing framework to capture three critical uncertainty types inherent in high -throughput mass spectrometry data: those related to detection limits/sens itivity\, physical/chemical instabilities (such as evaporation or oxidatio n)\, and ambiguities from structural isomers.\n\nThis hackathon will lever age the MAC's developments to explore nanopublications as a universal\, sc alable\, and machine-actionable mechanism for communicating errors\, uncer tainty\, and related concepts across scientific domains\, using metabolomi cs as a core case study.\n\nParticipants will be introduced to nanopublica tion principles and decentralized publication infrastructures through hand s-on experience with user-friendly interfaces and templates. To lower barr iers to participation\, no technical prerequisites are assumed\; participa nts only need to authenticate via ORCID in a browser [so come prepared wit h your ORCID credentials at hand!]. We'll show metabolomics examples from MAC that include uncertainty and error reporting. Participants are encoura ged to bring their own examples of errors\, uncertainties\, and data quali ty issues from any scholarly domain. By the end of the hackathon\, partici pants will have created and published nanopublications describing real err or and uncertainty scenarios and gained practical experience with FAIR\, m achine-actionable error communication.\n

\nFor slides\, see DOI: 10.5281/zenodo.186271 81. URL;VALUE=URI:https://nanodash.knowledgepixels.com/space?id=https://w3id.or g/spaces/PSE8/Nanopublications-Hackathon STATUS:CONFIRMED END:VEVENT END:VCALENDAR