Data Science for Global Ebola Response Data Dr. Brand Niemann Director and Senior Data Scientist/Data Journalist Semantic Community Data Science Data Science.

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Presentation transcript:

Data Science for Global Ebola Response Data Dr. Brand Niemann Director and Senior Data Scientist/Data Journalist Semantic Community Data Science Data Science for Global Ebola Response Data July 17,

Data Science for International Data Week 2016: Concept Plan for Ebola Data Data Mine Integrate Answer the Four Data Science Questions Document (curate) the results in Data Science Data Publications Make example of implementing the eight RDA Working Group outputs in support of the four 2015 RDA outcomes UN Global Ebola response: Collecting data and mapping the outbreak is crucial for ensuring the right response. Starting point suggested by experts: 2

3 For more information, read the full reportfull report More data on the Ebola Response can be found on the UN-supported Humanitarian Data Exchange.Humanitarian Data Exchange My Note: Table below captured to Excel in next slide.

4 RDAEbola.xlsx

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10 See Next Slide for: Download latest available summary data in CSV, as of 15 July 2015Download latest available summary data in CSV, as of 15 July 2015

11 SummaryDataasof csv

12 Web Player

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15 Data Science for Global Ebola Response Data My Note: 53 data sets in a MindTouch Knowledge Base

16 RDAEbola.xlsx

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18 Web Player

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20 RDAEbola.xlsx

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Data Science Questions and RDA Outcomes How were the data collected? UN Global Ebola Response Data Team Where are they stored? Originally at the Humanitarian Data Exchange and Other Web Sites What are the results? Curated in a MindTouch Knowledge Base, Excel Spreadsheets, and Spotfire Analytics and Visualizations Why should we believe the results? The UN Global Ebola Response Data Team Knows Their Business and I Am a Good Data Scientist! Data Citation - Uses persistent URLs Data Description Registry Interoperability (DDRI) - Provides Global View of Research Data Data Type Registries (DTR) - Provides Data Types Data Foundation & Terminology (DFT) – Provides Cross Disciplinary Data Exchange and Interoperability Metadata - Uses Metadata Standards that Provide Interoperability PID Information Types (PIT) - Data Science Data Publication Unifies the Interface Practical Policy (PP) - Provides Reproducible Data Science Wheat Data Interoperability – UN Global Ebola Response Data Interoperability 23

Conclusions and Recommendations Global Ebola Response Data Experts guided this data scientist to the best data sources. Three Global Ebola Response Data Sets have been Mined, Integrated, used to Answer the Four Data Science Questions, and Documented (curated) in a Data Science Data Publication. This provides an example of implementing the eight RDA Working Group outputs in support of the four 2015 RDA outcomes. The Full Ebola Situation Report - 8 July 2015 could become a Data Science Data Publication to help the UN, Cluster Peer Review, and the RDA. Data Science for International Data Week 2016 could also use the Humanitarian Data Exchange (HDX) Nepal Earthquake data sets. 24

25 My Note: Could make this a Data Science Data Publication!

26 My Note: Could do this next for Data Science Meetup of Meetups – International Data Week 2016!