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Importance of this would not just be for infectious disease. Also want to be useful for other related research topics: e.g. quality of medicines.
- Case 1 - non-overlapping data data on the same theme available from more than one source, none complete. Different organisations are doing similar work. These reports are useful but they are distributed, different data providers, formats, data dictionaries. Creating standards in this area, would be useful to integrate data on this topic in order to assemble a more complete dataset on a particular theme.
- Case 2 - Multiple d themes required to address a problem. For a particular scenario, there is a science hypothesis about what the vectors and exacerbating factors are. On the basis of this model, we need a specific selection of datasets to test or make predictions. For a different model, a different set would be required. There may be a need for a pre-rolled set of required datasets to respond to each scenario.
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