The main purpose of this study is to transform data into knowledge. In the context of the current pandemic, an immense amount of data, for instance on global pandemic cases, patient information including the travel, treatment, available and required infrastructural resources, treatment facilities, etc. are available on the Web in various formats (e.g., spreadsheet, HTML). The data is the fuel that is necessary to perform any kind of research, and for any decision and policymaking purposes. Our initial analysis reveals that the available datasets are inconsistent and lack meaningful representation, which hinders their effective use by both humans and machines. The data becomes hard to interchange, integrate, reuse, process and interpret automatically by machines, which eventually prevents the derivation of insights from the data and doing analytics. We aim to investigate in depth the existing issues related to data description, interoperability, data representation, and so forth with the ultimate goal of transforming data into useful knowledge.
Funding Information: This project is funded by Indian Statistical Institute (ISI) (36 months)
1. Github: https://github.com/biswanathdutta/CODO : Link to Github
2. Bioportal: https://bioportal.bioontology.org/ontologies/CODO : Link to Bioportal
3. CODO Documentation: https://w3id.org/codo : Link to CODO Documentation
Dr. Biswanath Dutta
Principal Investigator
Prof. Sushmita Mitra
Co Principal Investigator
Puranjani Das
Research Assistant
Dr. Biswanath Dutta : dutta2005@gmail.com or bisu@isibang.ac.in