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Data Visualization Resources: Data Sources

A guide to resources from TUL and elsewhere to help users create interesting and informative data visualizations.

Health Science Data Sources

There are many good sources for Health Science Data, ranging from federally-funded sources like the National Institutes of Health (NIH) all the way to community health assessment reports from your local health department, hospital, or university.

 

NIH Data Discovery:

The National Institutes of Health (NIH) publishes their Data Dsicovery site to provide access to datasets produced by its sections and partners.

EnviroMapper:

Published by the Enviromental Protection Agency (EPA), Enviromapper is a mapping tool that allows users to search for environmental cleanup information by location.

ECHO, EPA Database:

ECHO allows users to search the EPA's databases about environmental enforcement and compliance records.

 

Clinicaltrials.gov:

Search for clinical trials around the worlds, including geocoded data.

Pillbox:

From the National Library of Medicine (NLM), Pillbox is a database of drug information and allows search by the look and color of a pill. Includes an API and data downloads.

 

Federal:

Data.gov:

The US federal government's data hub, has a section devoted to health data from the US and around the world.

Philadelphia:

Community Health Assessment

Department of Public Health

Health Explorer

Covid-19 Resources

The Covid-19 Pandemic has caused a worldwide public health emergency and a flurry of research to understand and combat the virus. Below are some data sources for research around the virus.

Covid-19 Open Research Dataset (NLM and others): https://pages.semanticscholar.org/coronavirus-research

Figshare Covid-19 collection: https://covid19.figshare.com/

Github Data Repository: https://github.com/github/covid-19-repo-data

Zenodo Covid Community (via OPENAIRE): https://zenodo.org/communities/covid-19

https://zenodo.org/record/3731937#.XqM4oWjYq3A

Harvard Dataverse: https://dataverse.harvard.edu/dataverse/2019ncov