| Info |
|---|
|
This section is meant to illustrate 3 overall stategies (to be covered later): - Creating cross-cutting infrastructure (like global search services, subscription network)
- Encouraging data providers to support standards that enable automated discovery and integration
- Creating key aggregated datasets that will be important as foundation for answering data questions
Further, this example is meant to illustrate some features of how these strategies can be applied, including: - The existence of a global data discovery service and the integration of that service into multiple, independently maintained portals
- The support by multiple data providers for common export formats
- The use of common metadata identification to allow data from different sources to be sensibly combined
- The support of common standards for geolocation to enable mapping of data from different sources in a single (overlaid) mapping visualization.
- a subscription/publishing service for pushing machine-readable information to subscribers about the availability of new data.
|
As we will see, we have quite a wealth of data resources today that can be mined for answers to difficult but timely questions about how infectious diseases affect world. However, as we have explained, the current state of those resources and a lack of tools for automating the data discovery and integration, makes answering these questions in a timely way impossible. Nevertheless, the resources we do have at hand gives us a view how our job could be easier.
...