Covid-19 Public Data Collaboration Project
This project aggregates data from various public data sources to better understand the spread and effect of covid-19. The goal is to provide a central place where data, analysis, and discussion can be conducted and shared by a global community struggling to make sense of the current public health emergency.
See the dashboard for a summary of the global data.
Getting started
The simplest way to start is to make an account or logging in and forking the project. Then, feel free to start an interactive environment and use the hosted JupyterLab or RStudio to explore the data. A summary of the data is given below. Please please please consider contributing back cool results from your fork! If you don't know how or just need help with some of the git-heavy aspects of this, shoot us a line on Discourse or open an issue and someone will be able to help out.
The environment image allows you to work in Python or R in JupyterLab or RStudio/Shiny.
Dataset Summary
| Source | Dataset | Location | Example |
|---|---|---|---|
| Covid-19 Data Repository at JHU CSSE | covid-19_jhu-csse | data/covid-19_jhu-csse |
dashboard |
| covidtracking.com | covidtracking | data/covidtracking |
notebook |
| OpenData Zuerich | openzh-covid-19 | data/openzh-covid-19 |
notebook |
| Covid-19 data for Italy | covid-19-italy | data/covid-19-italy |
notebook |
| Covid-19 data for Chile | covid-19-chile | data/covid-19-chile |
notebook |
| Covid-19 data for Spain | covid-19-spain | data/covid-19-spain> |
N/A |
| Covid-19 tweet IDs | covid-19-tweet-ids | data/covid-19-tweet-ids |
N/A |
Covid-19 Data Repository JHU CSSE
This is a global Covid-19 dataset updated regularly from Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). The dashboard summarizes this data in combination with population data from the world bank.
Covid tracking crowdsourcing project
Covid tracking is a crowd-sourced dataset for US state-level data. It is updated by hand by an army of volunteers.
OpenData Zuerich
The swiss cantonal data collected by the Zürich statistical office. Parts are updated manually, others are starting to become automated.
Case data for Italy
Detailed data compiled by the Civil Protection of Italy.
Covid-19 related tweet IDs
A collection of tweet-ids related to covid-19 from https://github.com/echen102/COVID-19-TweetIDs.
General
- https://data.worldbank.org/indicator/SP.POP.TOTL
- https://worldmap.harvard.edu/data/geonode:country_centroids_az8
Derived Dataset Summary
| Dataset | Location | Code |
|---|---|---|
| Case population rates | data/covid-19_rates |
notebooks/process/ToRates.ipynb |
Contributing
If you are interested in working on this project, we would love to get contributions. We would really like to collect more data sources and make them available here! Please provide ideas for data sources that are relevant to understanding covid-19.
If you want to add a new datasource yourself, see the section Adding a new data source
Data Sources to Add
See the data sources issue.
Adding a new data source
Adding a new data source is easy! To do so, in your fork or branch of the project, do the following:
- Create a renku dataset using
renku dataset create [dataset name] - Add any files or folders using
renku dataset add. Looking in the commit history will provide some examples. - Create a notebook that shows how to read and work with the dataset in the
notebooks/examplesfolder- Protip: use a unique name for the notebook to avoid merge conflicts
- Add an issue to the project for any suggestions on things to do with the data