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Important to get to the questions that the researcher will be asking.
Cahllenges Challenges faced: accessibility - access to data and the appropriate tools to open different types of files. How do we match these specific data with the standards or specifications that already exist.
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Complex in terms of time: deals with event data, spell data.
Link to the wikipedia Wikipedia page.
Jay will explore this and identify how CDISC has been stretched.
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GHO Codelist example "Action area": http://apps.who.int/gho/data/node.metadata.ALCACTIONAREA?lang=en (also available as XML and JSON as a download)
We can use the existing WHO queries as an approximation. The queries can be customised and made through the API.
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Possible project: describe a couple of standards and the design of the platform that can harmonise the data in real time. Can we make recommendations for the data types such that they can be more effectively and rapidly integrated.?
Imagining a future outbreak: is it feasible to imagine applying standards by the groups closely monitoring
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Data Access at IDDO. Patient-level information harder to obtain. If I want anonymised data, but with age and sex how long would that take? Takes up to 3 months to get access. When the the patient data is integrated they hope to shorten that access time.
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SCox Point: the inventory and questions designed by the project team has a lot of similarities to DCAT. We can in fact integrated this methodology with DCAT. In future iterations, we should use the inventory stage to populate a DCAT entry on the data set.
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Desideratum for a platform that allows this. Characterise the datasets that could be relevant to allow this.
Predicting ebola Ebola outbreak would require land-use data, bat population data; predicting the spread of outbreak would require data relating to human to human interaction, movement etc. Population movement, transport, social practice.
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Project to support this kind of science: a discovery platfrom platform that goes beyond dataset discovery but can identify variable level issues relevant to particular domains.
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Keep wiki data on the radar. Focusing on the health domain. Consuming and aggregating public health data sources. Computable data.
Landuse:
WG Tasks
Recommendation to the WHO - URIs for each of the controlled vocabulary terms at http://apps.who.int/gho/data/node.metadata - should be generalised for the various codesets and data. Need a canonical URI for each item in all of these vocabularies. (e.g. see SNOMED URI policy and SNOMED controlled terms service, or Library of Congress authorities and vocabularies service)
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Possible project: describe the design principles for a platform that 1) accesses species/vector , landuse occurrence data, land-use data, and population density data for outbreak prediction; 2) allows the rapid ingest of occurance occurrence data into a platform that already has population and transit data integrated such that outbreaks can be predicted. Describe the standards, the design of the platform that can harmonise the data in real time. Can we make recommendations for the data types, and the upstream practices, such that they can be more effectively and rapidly integrated.
For this platform, we would want a set of canned queries - a convenience API.
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