Scientific data to assist your COVID-19 research efforts

Is your organization part of the global effort to fight the Coronavirus?

The current race to find anti-viral treatments for COVID-19 and an effective vaccine for SARS-CoV-2, have brought into focus the utility of the Text and Data Mining of scientific content, together with AI supported methods, to greatly reduce the time needed to accurately identify candidate solutions. Springer Nature is now collaborating with a variety of partners to provide free access to the relevant content for both human and machine consumption and you can now gain direct free access to the content by registering here for an API key. 

All content related to SARS-CoV-2 and COVID-19 are included via this API key and have been further augmented with more indirectly related terms such as ACE2 and its role as an entry receptor for viruses and as a therapeutic target. The amount of material includes 17,000+ articles, conference papers, chapters and books, across Springer Nature. It is constantly being added to, based on feedback from our users. For instance, we are now also providing insights into social and economic aspects of the pandemic. 

In addition, the same API will provide access to all our Open Access content which includes 20 years of BioMedCentral (BMC) journal articles, as well as articles from Scientific Reports and Nature Communications.

Springer Nature APIs support a number of different operations and return formats. These can be controlled by issuing RESTful requests to the API service based on a variety of sophisticated querystring parameters and constraints.

Click here to register for an API key