Community and resource collection

• Provides links to open-access data, computational, and supporting resources
• Focuses primarily on resources based in the US and highlights those that are NIH funded

• Includes links to other visualization and geolocation resources
• Also includes govermental, non-govermental, as well as news and publication information

• Zenodo enables sharing and preservation of multidisciplinary research results safely; developed and operated by CERN; part of OpenAIRE
• Includes COVID-19 related communities and platforms for uploading research materials

• Contains links to outside data repositories
• Search results can be filtered by various criteria such as "data access", "database licenses", etc.
• Search result includes those unrelated to SARS-CoV-2

• Posting of analysis and discussion of SARS-CoV-2
• Virological.org is a discussion forum for analysis and interpretation of viral molecular evolution and epidemiology administered by Andrew Rambaut (University of Edinburgh)

• A program of the International Society for Infectious Diseases
• The largest publicly-available system conducting global reporting of infectious diseases outbreaks, providing timely reporting of important emerging pathogens and their vectors

• Built by software engineers and scientists at scientist.com to empower researchers, protect healthcare workers and help cure this disease
• Lists include Research, Suppliers, Funding, Trackers, Literature, PPE, and Consortia

• A crowd-sourced collection of information, documentation, protocols and other resources for public health laboratories intending to sequence SARS-CoV-2 samples
• Also includes bioinforamtics tools/workflows, quality-management best practices, submitting public sequence repositories, etc.

• Community-based development and sharing of methods related to SARS-CoV-2 research
• Includes lists of publications, discussions, and resources related to methods and protocols
• Funded by CZI

• List of CZI-supported projects
• Includes Chan Zuckerberg Biohub, Bay Area Pandemic Consortium, IDseq, and more

• An AI challenge with AI2, CZI, MSR, Georgetown, NIH and The White House for developing data and text-mining tools that can help the medical community develop answers to high priority scientific questions related COVID-19
• CORD-19 dataset represents the most extensive machine-readable coronavirus literature collection available for data mining

• Contains various informational maps about the pandemic and other data visualizations

• For domain experts fighting COVID-19 who make use of open-source software in their work
• Timely help can be obtained from the authors and maintainers of major open-source scientific computing packages