Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1481
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dc.contributor.authorChowdhuri, Deeptanshu Barman
dc.contributor.authorSingh, Jaskaran
dc.contributor.authorSethi, Tavpritesh (Advisor)
dc.date.accessioned2024-05-16T09:32:47Z
dc.date.available2024-05-16T09:32:47Z
dc.date.issued2023-11-29
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1481
dc.description.abstractEnsuring that COVID-19 data adheres to the principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) is critical for effective research and analysis. In this project, we systematically verify these FAIR principles for COVID-19 datasets hosted on Zenodo. Our approach involves a multi-layered assessment comprising Description, Field, and Data Layers.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectFAIR dataen_US
dc.subjectCOVID-19en_US
dc.subjectZenodoen_US
dc.subjectBERT Modelen_US
dc.subjectCosine Scoreen_US
dc.subjectSnomedCTen_US
dc.subjectJaccard Scoreen_US
dc.subjectKL Divergenceen_US
dc.subjectBayesian Networken_US
dc.subjectStructural Hamming Distance (SHD)en_US
dc.titleIFHP tindering datasetsen_US
dc.typeOtheren_US
Appears in Collections:Year-2023

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Jaskaran_BTP_Report - Jaskaran Singh.pdf
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