Harnessing Data to Address Diabetes in the US Dr. Brand Niemann Director and Senior Data Scientist Semantic Community AOL Government Blogger April 12, Updated April 23,

Background This is more work since submitting the Health Datapalooza IV presentation and The Sanofi US 2013 Data Design Diabetes Innovation Challenge – Prove It! So how would one search, select, and organize an ecosystem of diabetes data to harness it? – The use of the word "harness" here must be as a verb meaning "to capture, control or put to use" and that is what I am trying to do To capture, control, or put to use, diabetes data, one can: Google Search, Subject Matter Knowledge Search, Ask Experts, etc. I decided to first get an example of these three types of data: epidemiologic, public health, and clinical data. The CDC Diabetes Atlas has county and state data that can be mapped: – This provided a good start of finding epidemiologic, public health, and clinical data for a diabetes data ecosystem. 2

Harness Data to Address Diabetes in the US Knowledge Base 3

Diabetes Data Ecosystem Spreadsheet 4

Diabetes Data Ecosystem Spotfire 5 Purpose and Metadata Atlas Inventory Visualization Data Set

Diabetes Data Ecosystem Spotfire 6 Instructions Data Set Filters Details-On- Demand Interactive Map Scatter Plot: Obesity & Diabetes