The dataset for investigating the efficiency of viral genetic data dissemination across four pandemics: Ebola, Sars, Mers, and Covid-19.

Published: 23 November 2023| Version 1 | DOI: 10.17632/yvsd66cmjz.1


Open data was recognized as essential to preventing and treating pandemic infection through sharing, disseminating, and using relevant information. We explored how and to what extent open data influenced the response of science to such emergencies from a quantitative perspective. Based on the genetic datasets for viruses associated with EBOLA, SARS, MERS, and COVID-19, we analyze the efficiency of data sharing and citation from a knowledge flow perspective: "datasets→papers", "datasets→patents", and "datasets→papers→patents". These datasets were created to investigate and analyze the efficiency of open data in the perspective of knowledge flown across the four pandemics, including Ebola, Sars, Mers, and Covid-19. The details of collection and processions were descripted in our study titled: Does Open Data Have the Potential to Improve the Response of Science to Public Health Emergencies?



Nanjing Agricultural University


Knowledge Flows, Open Data, Flu Pandemic


National Social Science Fund of China