[Forum SIS] COVID-19 Data Hub

Silvia Salini Silvia.Salini a unimi.it
Gio 16 Apr 2020 20:02:15 CEST


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Buon lavoro a tutti
Silvia  
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Emanuele Guidotti <https://guidotti.dev/> (Université de Neuchâtel) Professor of the Coding for Data Science course in the Master's Degree in Data Science and Economics of the University of Milan, in collaboration with David Ardia (HEC Montréal), present the project COVID-19 Data Hub

https://github.com/emanuele-guidotti/COVID19 <https://github.com/emanuele-guidotti/COVID19>
The project is funded by the Institute for Data Valorization IVADO, Canada. The goal of the project is to provide the research community with a unified data hub by collecting worldwide fine-grained data merged with demographics, air pollution, and other exogenous variables helpful for a better understanding of COVID-19.

Many databases exist in connection with COVID-19, but no virtual platform currently integrates a significant proportion of these sources. It then becomes difficult to make a global analysis, and to make connections between this often-medical information and external factors, notably socio-political. With this in mind, this international project aims to develop a multifactorial open source platform, allowing the integration and continuous addition of new information.

The data are collected with the R package COVID19. For R users, the COVID19 package is the recommended way to interact with the dataset. For non R users, the data are provided in csv format and regularly updated.

Join the mission

Whether or not you are an R user... take part in the data collection! Your contribution will be gratefully acknowledged. See how to contribute <https://github.com/emanuele-guidotti/COVID19/blob/master/CONTRIBUTING.md>.




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Prof. Silvia Salini
Associate Professor of Statistics
Department of Economics, Management and Quantitative Methods 
University of Milan 
(III floor, room 31) 
Via Conservatorio 7 
20122 - Milano 
Tel: +39 02 50321538 
Fax: +39 02 50321505 
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Data Science and Economics Master’s Director
https://dse.cdl.unimi.it/en <http://www.dse.unimi.it/>
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