Earlier in May, my colleague Lee-Arng Chang published an interesting post discussing a number of different COVID-19 data visualizations, which many of us have become increasingly familiar with over the last couple of months. With the number of COVID-19 data visualizations being produced, it should come as no surprise that there has been an equally marked increase in the number of COVID-19 datasets available to university researchers, public health professionals, and administrative officials to support critical work related to overcoming this pandemic and planning for what lies ahead.
Within the University Libraries, a number of my colleagues and I noticed that we were receiving questions from researchers across the university about COVID-19 datasets (primarily geospatial data, in my case) that could support their work, and at the same time, we were frequently learning about new datasets becoming available. We needed a place to gather this information and make it easily accessible to the Ohio State research community and beyond.
The result of this work is the new Data Sources page on the Health Science Library’s COVID-19 LibGuide. This resource provides links to, and short descriptions of, data sources that we’ve encountered that are openly available, on either a permanent or temporary basis. We’ve categorized the data to make browsing easier, with categories including Ohio, Public Health, Geospatial, Business & Socioeconomic, and General & Interdisciplinary, which includes links to a number of scholarly literature datasets available for text mining and other curated lists of data sources known to us. As we become aware of new datasets that could support ongoing work around COVID-19, the guide will be periodically updated.
But don’t stop at the Data Sources page. The team of Health Sciences librarians has done a great job collecting other relevant information on topics connected to COVID-19, including clinical guidance and articles, basic science articles, telemedicine resources, and available funding opportunities. And if you can’t find what you’re looking for on the guide, don’t hesitate to ask a librarian!
Want to suggest a COVID-19 dataset or other resource to add to the guide? Fill out this short form with your recommendation.
A big “Thank You” to Stephanie Schulte and Anna Biszaha for creating and maintaining the COVID-19 LibGuide, and to Hilary Bussell, Danny Dotson, and Ash Faulkner for recommending additional data sources to include on the guide.