Academic Data Science Alliance

The Academic Data Science Alliance is working with partners to pull together data and data science resources related to the COVID-19 pandemic. This is a living list of resources and we welcome additions, suggestions, and collaborations. Please send additions, corrections, comments, and suggestions to us using this feedback form.

ICPSR COVID-19 Data Repository

ICPSR has created a new archive for data examining the social, behavioral, public health, and economic impact of the novel coronavirus global pandemic. The COVID-19 Data Repository is a free, self-publishing option for any researcher or journalist who wants to share data related to COVID-19. The data will be available to any interested user for secondary analysis.

COVID-CORE Dataset

The COVID-CORE dataset, one of the COVID-19 Social Media datasets created by the U-M School of Information (UMSI) and MIDAS, contains a sequential sample of Tweets that have explicitly mentioned various synonyms, aliases, or hashtags of the COVID-19 disease, the SARS-CoV-2 virus, or the pandemic. To construct this dataset, the team carefully curated a list of keywords, based on which a list of filtering queries are generated. By applying these queries to the Decahose stream (~10% sequential sample) of Tweets, we are able to retrieve millions of Tweets per month. The extracted Tweets start January 1, 2020. COVID-19 datasets filtered for medical/health and social/economic impact will be available soon. Please contact the creators, Dr. Xuan Lu (luxuan@umich.edu) and Dr. Qiaozhu Mei (qmei@umich.edu) for questions about the use of the dataset as well as for special needs of extraction.  If you currently have access to the Twitter decahose, contact Kristin Burgard (burgardk@umich.edu) to access the COVID-CORE. If you do not already have access to the Twitter decahose, please go to the MIDAS website and “Send Inquiry” to request access to the COVID-CORE dataset.

Facebook COVID-19 Symptom Surveys

Offering the symptom survey datasets to academic and nonprofit researchers with a privacy-minded approach enables experts to generate more impactful insights to aid public health responses. Facebook and partner universities created a centralized webpage for researchers with more information about the symptom surveys and how they can use the data for their research.