Cured and Enriched Datasets from the National Vaccination Campaign Against COVID-19

• Marcus Vinicius Ferreira Gonçalves Federal University of Rio de Janeiro / Oswaldo Cruz Foundation (Fiocruz) http://orcid.org/0000-0001-9550-9624
• Jamile Santos dos Santos Federal University of Rio de Janeiro http://orcid.org/0000-0002-6422-6127
• Caio Zava Ferreira Federal University of Rio de Janeiro
• Jorge Zavaleta Federal University of Rio de Janeiro https://orcid.org/0000-0002-4747-8613
• Sérgio Manuel Serra da Cruz Federal University of Rio de Janeiro / Federal Rural University of Rio de Janeiro
• Jonice Oliveira Sampaio Federal University of Rio de Janeiro

DOI: https://doi.org/10.5753/dsw.2021.17423

Abstract

The COVID-19 pandemic is a global threat. If, on the one hand, we account for many losses, on the other hand, the generation of datasets and urgent analytical demands has accelerated. Among the combat strategies, vaccination and data-centered epidemiological investigations stand out. This dataset paper presents the process of building cured and annotated datasets with provenance metadata. The main dataset is based on the registration data of the Vaccination Campaign against COVID-19 in Brazil. The dataset contains thousands of records processed up to March 2021. The data were analyzed, investigated, treated and cross-checked with other sources, in order to correct and complement them, resulting in cured datasets and aligned to the FAIR principles.

Keywords: Data Science, COVID-19, Data Provenance, FAIR, Workflows, Data paper

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