[Geo4All] Fwd: [TC-Announce] Disparate Data Challenge - Challenge.gov

[Polimi]

Interesting for some labs in US...
Greetings.
Maria



> Da: George Percivall via TC-Announce <tc-announce at lists.opengeospatial.org>
> Data: 2 settembre 2016 15:46:34 CEST
> A: "tc-announce at lists.opengeospatial.org" <tc-announce at lists.opengeospatial.org>
> Oggetto: [TC-Announce] Disparate Data Challenge - Challenge.gov
> Rispondi a: George Percivall <gpercivall at opengeospatial.org>
> 
> 
> The US National Geospatial-Intelligence Agency has launched a $200,000 competition on the Challenge.gov website for programs that would help address NGA’s disparate data challenges.  
> 
> NGA Disparate Data Challenge. 
> https://www.challenge.gov/challenge/disparate-data-challenge/
> "NGA seeks to unearth innovative ways of retrieving and analyzing data in different locations, formats, schemas and interfaces.”
> Stage 1 - Submission Date: by 1 p.m. ET, Sep 19, 2016
> Stage 1 winners get $10K - up to 15 teams.
> Stage 2 "Demo-thon"
> 
> The challenge aims to provide unified access to data with different formats, schemas, interfaces and locations to support applications such as business metrics and information analytics.  The mission and technology of OGC and its members is highly suited to taking on this challenge.
> 
> NGA Director Robert Cardillo said the agency is in need of technology and tools that will work to analyze big data and relay the information to its clients. “We want ideas on how to seamlessly pull together these wildly disparate data sources — everything from imagery, social media, documents, video, et cetera — to create robust products for our customers,” said Col. Marc DiPaolo, chief of mainstreaming capabilities at NGA’s enterprise innovation office. 
> 
> The first stage of the challenge requires participants to develop a functional code designed to access and retrieve the supplied representative data sets from a variety of sources. NGA will select 15 participants who will receive $10,000 and move on to the second part of the competition. The selected competitors will then take part in a Dem-o-thon in Washington, D.C., where a panel of NGA judges will test the submitted code. The agency will award $25,000, $15,000 and $10,000 in cash prizes to the first-, second- and third-place winners, respectively.
> 
> “The NGA Disparate Data Challenge encourages participants to offer solutions that can demonstrate effective capabilities that enable access to data that is wildly disparate in its formats, schemas, interfaces and locations, so that it may be available for search, business metrics and data and information analytics."
> 
> The “wildly disparate” nature of the data is well displayed in the data available for this Challenge:
> http://disparatedata.s3-website-us-east-1.amazonaws.com/
> There are five categories of data:
> 1. WMS and WFS data - 
> WMS layers in http://geoint.nrlssc.navy.mil/nrltileserver/wms
> Links to nag.mpas.arcgis.com with .mpk Esri format
> WMS and WFS in http://geonames.nga.mil/gns/html/gns_services.html
> 2. NITF Data
> 3. Imagery - KML, GeoTIFF, XML.JSON
> 4. Humanitarian Data - XML, Shapefile, Txt, CSV, JSON
> 5. Other - XML, Shapefile
> 6. Raw - XLS, CSV, LIDAR(DBF, PRG, SHP, SHX, DG
> 
> 
> 
> 
> 
> George Percivall
> CTO, Chief Engineer
> Open Geospatial Consortium
> gpercivall at opengeospatial.org
> @Percivall 
> 
> 
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> 
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