Data Science for DataBay DataBay "Reclaim the Bay" Innovation Challenge: August 1-3, 2014, Smithsonian Environmental Research Center, 647 Contees Wharf Rd, Edgewater, MD 21037 http:// databay.splashthat.com Dr. Brand Niemann Director and Senior Data Scientist Semantic Community and Dr. Joan Aron Principal Aron Consulting August 3, 2014 http:// semanticommunity.info/Data_Science/Data_Science_for_DataBay 1
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Dr. Brand Niemann Director and Senior Data Scientist Semantic Community and Dr. Joan Aron
Data Science for DataBay DataBay "Reclaim the Bay" Innovation Challenge: August 1-3, 2014, Smithsonian Environmental Research Center, 647 Contees Wharf Rd, Edgewater, MD 21037 http:// databay.splashthat.com. Dr. Brand Niemann Director and Senior Data Scientist Semantic Community and - PowerPoint PPT Presentation
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Data Science for DataBayDataBay "Reclaim the Bay" Innovation Challenge:
August 1-3, 2014, Smithsonian Environmental Research Center, 647 Contees Wharf Rd, Edgewater, MD 21037http://databay.splashthat.com
Dr. Brand NiemannDirector and Senior Data Scientist
So take a look at the new data catalogue & let us know what you think
• Can you work with this data?– Yes, especially 5 sites that provide spreadsheet downloads. There are 5 sites that
require a separate inventory. There are two sites that require browsing lots of data sets to make a selection. There is one site that does not appear to provide the actual data and one site that requires the user to have ArcGis software.
• Are you encountering any issues with the datasets?– There are two sites that return Error Messages and one site that requires
ArcGis software.• Are there relevant datasets or websites which are missing?
– Probably, but there is so much to work with and so little time that can come later.• What other information would you like to see?
– What I have done here as a Data Scientist to begin the Data Mining Process as follows: See next two slides.
• The Fourth Paradigm of Science (1):– Fourth Paradigm. Data-intensive science that exploits the large volumes of
data in new ways for scientific exploration, such as the International Virtual Observatory Alliance in astronomy.
• The Fourth Question of Big Data for Science (2):• How was the data collected?• Where is the data stored?• What are the data results?• Does the data story persuade?
• Data Science Data Publications:– In General-Open Government and Non-Government Research Data in Data
FAIRports (Findable, Accessible, Interoperable, and Reusable) or Commons (e.g. NIH BIG DATA Program)
– Specifically-Chesapeake Bay Program and EPA EnviroAltas(1) Bell G, Hey, T., & Szalay, A. (2009) Beyond the data deluge, Science 323, 6 March 2009, pp. 1297-1298.(2) de Waard, Anita, (2014) About Stories, that Persuade With Data, Federal Big Data Working Group Meetup, 20 May,, 41 slides.
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Data Science for DataBay:Knowledge Base in MindTouch (Wiki)