April 15, 2020
To increase the online visibility of important COVID-19 information, Federal Chief Information Officers have been directed to incorporate the new Schema.org vocabulary for tagging websites that contain information about COVID-19 prevention measures, disease spread statistics, etc. These new tags are available in Schema.org Version 7.0, released March 17, 2020 (http://blog.schema.org/2020/03/schema-for-coronavirus-special.html).
In addition to the direction to Federal Chief Information Officers, state and local government agencies as well as non-profit and private sector organization are encouraged to utilize these tags for publishing and disseminating information related to COVID-19.
Follow this link for instructions to add structured data to COVID-19 announcements, with examples.
Also, the National Science Foundation-funded projects seeking to establish an Open Knowledge Network are actively working on creating enhanced knowledge graphs to handle additional critical information that is being published on a variety of sites, including local, county, and state governments; hospitals; and other organizations. This includes information on local incidence rates, hospital admission rates, and more. Tagging these data appropriately will enable effective use by downstream analytics and visualization applications that would benefit the public. Those interested in contributing to this effort should contact COVID19-OKN@nitrd.gov.
There is also an effort underway to develop tags for the scientific information related to the coronavirus, to enable faster discovery and use/re-use of that information. That work is being pursued by the Open Knowledge Network along with Department of Energy and National Institutes of Health, and others. Those interested in contributing to that effort should contact COVID19-Science@nitrd.gov.
Below are links to examples of the many programs the Federal Government and its agencies – often working with U.S. companies and universities – are doing to rapidly set in motion mitigation strategies and remedies for the spread of COVID-19. Artificial intelligence (AI) and supercomputing examples are of particular relevance to the work of NITRD:
White House Announces New Partnership to Unleash U.S. Supercomputing Resources to Fight COVID-19
March 23, 2020
We are pleased to inform you of the COVID-19 High Performance Computing Consortium, a new U.S. Government partnership with top U.S. tech companies that will give researchers access to the world’s most powerful high performance computing resources to help speed scientific discovery in the fight against COVID-19. READ MORE…
Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset
March 16, 2020
The White House is issuing a call to action to the Nation’s artificial intelligence experts to develop new text and data mining techniques that can help the science community answer high-priority scientific questions related to COVID-19. READ MORE…
- The White House: COVID-19
- Congress: Coronavirus Disease 2019 (COVID-19)
- DHS: https://www.dhs.gov/coronavirus
- DOD: https://www.defense.gov/Explore/Spotlight/Coronavirus/
- DOD HPC: DoD High Performance Computing Modernization Support to the Fight Against COVID-19
- DOE: https://www.energy.gov/coronavirus-hub
- DOJ: https://www.justice.gov/coronavirus
- DOL: https://www.dol.gov/coronavirus
- DOT: https://www.transportation.gov/coronavirus
- NARA: https://www.archives.gov/coronavirus
- NASA: https://www.nasa.gov/coronavirus
- NIH:
- NIST:
- NIST and COVID-19
- Free and Low Cost Online Cybersecurity Learning Content
- NIST and OSTP Launch Effort to Improve Search Engines for COVID-19 Research
- TREC-COVID: Building a Pandemic Retrieval Test Collection
- NSF: https://www.nsf.gov/news/special_reports/coronavirus/
- ONC: https://www.healthit.gov/coronavirus