IFHP tindering datasets

Chowdhuri, Deeptanshu Barman; Singh, Jaskaran; Sethi, Tavpritesh (Advisor)

dc.contributor.author	Chowdhuri, Deeptanshu Barman
dc.contributor.author	Singh, Jaskaran
dc.contributor.author	Sethi, Tavpritesh (Advisor)
dc.date.accessioned	2024-05-16T09:32:47Z
dc.date.available	2024-05-16T09:32:47Z
dc.date.issued	2023-11-29
dc.identifier.uri	http://repository.iiitd.edu.in/xmlui/handle/123456789/1481
dc.description.abstract	Ensuring 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.iso	en_US	en_US
dc.publisher	IIIT-Delhi	en_US
dc.subject	FAIR data	en_US
dc.subject	COVID-19	en_US
dc.subject	Zenodo	en_US
dc.subject	BERT Model	en_US
dc.subject	Cosine Score	en_US
dc.subject	SnomedCT	en_US
dc.subject	Jaccard Score	en_US
dc.subject	KL Divergence	en_US
dc.subject	Bayesian Network	en_US
dc.subject	Structural Hamming Distance (SHD)	en_US
dc.title	IFHP tindering datasets	en_US
dc.type	Other	en_US