Main content

Date created: | Last Updated:


Creating DOI. Please wait...

Create DOI

Category: Data

Description: All COVID-Dynamic data that is openly available through OSF is de-identified to protect participants’ privacy. Sensitive geographic information – i.e., data with higher geographic resolution than participant state of residence, such as zip-code and nearest town of residence – bears the risk of identifying individual participants, as does data derived from sensitive location data – i.e., county of residence and county-based external measures – and therefore is excluded from the public data. To access sensitive geographic information researchers must establish a formal relationship with the COVID-Dynamic Team by taking the steps outlined in the Wiki.

License: CC-By Attribution 4.0 International


Add important information, links, or images here to describe your project.


Loading files...


Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.