Full access to the Datalake offers all stored COVID-19 Datalake data while allowing the researcher to use whatever analysis framework they so choose with their own compute resources. This level offers the fastest startup time while ensuring access to all data. Once you learn how to query data in C3, that data can be streamed to your compute resources where you can use your language and tools of choice.

Pros:

• Full access to C3 Datalake.
• Ability to use any language and tools of your choosing.

Cons:

• C3 credentials and tenant/tag required.
  
• All data must be streamed to your local compute resources.

Necessary Resources/Training:

If your research belongs in this category, reading and understanding the necessary training below is enough to get started.

• C3 Getting Started Guide
  • Not all sections of the Getting Started Guide are necessary.
    We list the necessary sections here:
    • Introduction to C3 AI Suite

    • Architecture

      • Basics
      • Understanding Clusters, Tenants, and Tags
      • Model-driven Architecture
        • Types

        • Fields and Methods

        • Type Inheritance

    • Time Series Data Section
    • Metrics Section
• DTI C3 Quickstart Guide
  
  • This guide gives a quick hands-on introduction to how researchers can fetch and analyze data from the C3 Datalake.

Optional Resources/Training:

• c3python module for easy python interactivity
• DTI Guide to utilizing C3 Documentation

Example Workflows

• Cases example (C3 connector)
• Vaccine Listing example (C3 connector)
• Epidemiology example (C3 connector)
• Phylogenetic Tree (C3 connector) (PLANNED)

Challenge Problems

This set of problems exercises the concepts defined under the 'Level 2' header. You should be able to solve these problems by fetching types, executing existing Metrics, creating new Metrics, and may require processing outside of the C3 platform for instance, to produce plots.

• What is the age distribution of coronavirus patients?
• How does likelihood of death change with age and sex?
• Do coronavirus case reporters agree with each other on how many new cases a given US county or state have? How often do they disagree?
• Is there a seasonality to case reporting data? What period is it?