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Persistent URL http://purl.org/net/epubs/work/53762066
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Record Id 53762066
Title Data FAIRness Practice
Abstract FAIR synopsis. F.A.I.R breakdown in Findable, Accessible, Interoperable and Reusable and what do they mean in practice. GoFAIR and F-UJI interpretation of FAIR. DCAT along with other standards in this context (DOME code examples in JSON-LD). Cascade of concerns. Low scores in seemingly FAIR data. Tool software implementation and scoring issues. Link rot in metadata, destroyer of graph structure, and how to mitigate it (in practice) with FAIR PID strategies. Ontology standards. Avoiding hardcoding solutions.
Keywords semantic, , FAIR, , Knowledge representation , AI , software engineering , metadata,
Funding Information H2020, The Digital Open Marketplace Ecosystem (DOME) 4.0 (953163)
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Licence Information: Creative Commons Attribution 4.0 International (CC BY 4.0)
Language English (EN)
Type Details URI(s) Local file(s) Year
Presentation Presented at DOME 4.0 Industrial Engagement Open Day and Hackathon, Bologna, Italy, 17-19 Jan 2023. presentation2-FAIRness.zip 2023