Ramon A. S. Franco, Pedro Loures Alzamora, Janaína Guiginski, Evandro Cunha, Tereza Bernardes, J. F. Galindo, Luana Passos, R. Schneider, Bruno Chagas, Kícila Ferreguetti, L. Cardoso, Pedro Moreira, Wallace Pereira, Ana Paula Couto da Silva, Wagner Meira
{"title":"Covid Data Analytics Repository: An interdisciplinary look into the COVID-19 pandemic in Brazil","authors":"Ramon A. S. Franco, Pedro Loures Alzamora, Janaína Guiginski, Evandro Cunha, Tereza Bernardes, J. F. Galindo, Luana Passos, R. Schneider, Bruno Chagas, Kícila Ferreguetti, L. Cardoso, Pedro Moreira, Wallace Pereira, Ana Paula Couto da Silva, Wagner Meira","doi":"10.5753/jidm.2022.2266","DOIUrl":null,"url":null,"abstract":"This article describes the construction and deployment of the Covid Data Analytics Repository, a source for interdisciplinary studies about the impact of the COVID-19 pandemic in Brazil. We collected different types of data from official (IBGE, DATASUS) and non-official (Brasil.IO) sources, online social networks (Instagram, Twitter), and from a search engine analysis tool (Google Trends). We used these data to perform investigations aimed to understand the impacts of COVID-19 in the country, from economics to social behavior. At the moment of publication of this article, our repository contains 1,508 documents, classified into two main types: (i) databases and tables downloaded from the aforementioned sources; and (ii) papers, reports, maps and graphs resulting from the analyses that we performed. As a means to allow reproducibility and foster follow-up studies, we released our repository for public use.","PeriodicalId":301338,"journal":{"name":"J. Inf. Data Manag.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Inf. Data Manag.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/jidm.2022.2266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article describes the construction and deployment of the Covid Data Analytics Repository, a source for interdisciplinary studies about the impact of the COVID-19 pandemic in Brazil. We collected different types of data from official (IBGE, DATASUS) and non-official (Brasil.IO) sources, online social networks (Instagram, Twitter), and from a search engine analysis tool (Google Trends). We used these data to perform investigations aimed to understand the impacts of COVID-19 in the country, from economics to social behavior. At the moment of publication of this article, our repository contains 1,508 documents, classified into two main types: (i) databases and tables downloaded from the aforementioned sources; and (ii) papers, reports, maps and graphs resulting from the analyses that we performed. As a means to allow reproducibility and foster follow-up studies, we released our repository for public use.
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