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 |