enabling geospatial killer apps interfaces, visualizations ... · • today the percentage is >...
TRANSCRIPT
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90
International Open Government
Data Conference
Enabling Geospatial Killer Apps—Interfaces, Visualizations and APIs—Imaging the World
Jim Barrett, Data.gov Geospatial Architect
Pat Cummens, Government Strategist, Esri
Rob Dollison, National Geospatial Program, U.S. Geological Survey, U.S. Department of the Interior
Jerry Johnston, Ph.D., Geospatial Information Officer, U.S. Environmental Protection Agency (Moderator)
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U.S. Department of the Interior
U.S. Geological Survey
First International Open Data Conference
November 16, 2010
Geospatial One-Stop (GOS) Lessons Learned for Open Data
Rob Dollison
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President’s Open Government Initiative
Three Pillars - Transparency, Participation and..
Collaboration improves the effectiveness of
Government by encouraging partnerships and
cooperation within the Federal Government, across
levels of government, and between the Government
and private institutions.
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Open Government Design Principles
Share As Much Data As Possible
Access to Authoritative Source Data
Access to Current Data
Make Data Widely Accessible
Ensure Data is Machine Readable
Use Open Formats
How has the Geospatial Community
worked at this goal?
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Evolving Spatial Data Infrastructures
Application focus IT standards Interoperable
GIS Portals
Clearinghouses
System-oriented Data focus Geo-
standards Top down
File Transfer
Ad hoc Data focus FTP transfer Bottom up
Services Architecture
Service Oriented
Focus on Content
Integration in Business Process
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Geospatial One-Stop (GOS)
Provide online discovery and
access to geospatial resources
(data, applications, web sites)
across all levels of government
Develop standards and models to
support the exchange of data and
facilitate web services
Promote partnerships among
Federal, state, and local agencies
Reduce redundant investments
and facilitate cost sharing
Make it easier, faster and less expensive
to find and use geospatial data
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Challenges for the roles of metadata
From understanding the data to
enabling consumption
Information about the data set
(source, accuracy, intended use etc.)
Enable search and discovery
Support an inventory view
Enable access and consumption
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Obstacles encountered
Agency commitment in a voluntary NSDI
Priorities varied among partners
Auto Classification of Data
Open specifications – specific enough?
Movement of data
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Lessons Learned
Quality of Metadata Important
Easy tools needed to encourage participation
Web Map Services must be available for long
periods of time
Maturity of Standards vs. Operational
Demands
Text + Geospatial Search tricky
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Lessons Learned
It’s not about the website
Groups should be self-forming
Facilitate access to National
Federal Sources
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Good Concepts and Functions
Implemented in GOS that have
relevancy moving forward
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Search Results Visualization
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Featured Map Mash-ups
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Mashing-up Federal-State-Local
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Facilitate Data Partnerships
Discover New Data Acquisition Plans
Post Data Requests
Contact Owners –build partnerships and leverage investments
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Notifications About New Data
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Enable Web Map Services for a variety of
viewers
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Availability of Map Services
Put State name in Text box
Select Live Data’ in Data Category tool
Zoom map to State
Select Services with in area of interest
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Report Information: GOS Registration
Information
Health Test Results
Reliability Rating
Responsiveness Rating
Potential Service Issues
Recommendations
Detailed Report
from FGDC
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Data catalog as a Web Service
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Customizable Search Widget
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Dashboard for Windows 7
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Workflows
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Integrating with Data.gov
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Geo & Data.gov – What’s Next?
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Open Government
Geospatial Enablement
Jim Barrett –data.gov PMO
November 15, 2010
120
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Outline
• Data Supply Issues
• Planning for geospatial improvements to data.gov
– Catalog
– Data Management
– Platform
• Importance and Value
International Open Government Data Conference121
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AcquireData
Participate
Data.gov Community of UsersCommunity of Suppliers
Efficiency Measures Effectiveness Measures
ConnectDiscover
EnableDiscovery
EnableUse
Build Dataset
Publish Dataset
Data.gov - Information Value Chain
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Architecture Principles – data.gov
• Increase in data demand and user recognition will incentivize suppliers
– Increase in volume of contributions
– Improvements in the quality and interoperability of the data asset
– Preclude leveling off of supplier contributions
• Communities of Use are self organizing and the trend is towards “push” models:
– Enable users in their comfort zone
– Enable thru more powerful search – spatial, federated, services, vocabularies
– Enable thru - Data Downloads, Interoperable Data and Map Services, open formats
– Enable thru – Notifications and Syndication
• Communities of Supply are not self organizing and the trend is towards “pull” models:
– Need to identify and develop targeted communications
– Require strong communication, policy and investment to create buy-in
– They need solutions that align with their business practices
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Geo - Supply Side Barriers
• Islands of Data – Fragmentation of content– Stored locally, shelved or just tucked away
– Project oriented
– spatial – temporal – positional accuracy
• Data Supply Chain is still not tapped – Incentive to participate?
– Seen as more work with little benefit
– Numerous inventories of data not exposed (collections, series, imagery)
• Geodata; especially base data is often duplicative
• Lot of data still not spatially enabled
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User Perspective:
• Data Concerns:
– Content quality, positional accuracy, copyright, and trust
• Can I trust it?
• Is it the latest the version over a geography?
• Is it sufficiently described to understand it?
• Is the data of sufficient positional quality?
• Am I allowed to reuse the data?– If so - What do I need to do?
• Is it in a usable form?
AcquireData
Build Dataset
Publish Dataset
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Enabling Dataset Discovery
Discovery +Connection =Participation
Aggregation and Syndication
•Data.gov - Creates value via aggregation of a Complex Fragmented Supply Chain
•Data.gov – Promotes value in syndicating and personalizing consumer experience
Notifications
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Enabling Content Use – Platform Planning
Connection Path Discovery +Connection =Participation
RDF,SPARQL
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What is Data.gov building towards?
• Improved Data Management Practices:
– Ensure privacy and security
– Ensure supplier participation and data quality
– Organize to collections
• Simplification for Community of Supply
– Implement automated harvester and reduce manual data management
AcquireData
Build Dataset
Publish Dataset
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What are we building towards?
• Enable Visualization and Discovery - build data.gov as a service:– Catalog as Data service– Catalog as a Map Service– Open API support i.e. Open Search– Catalog - Federated and Distributed Searches– Harvestable catalog to support community specific or open
government environments
• Spatial Search for Discovery: – Development of spatially smart search widget for end user
environments to tap data.gov
• Standards based Map Services– Published Map Services– Enable Map Services for numerous client viewers
ParticipateConnectDiscover
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Why? Web Ecosystem – Geo
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Geo Forces at work – Creative Destruction
• Disruptive Technologies:
– GPS, Remote sensing technologies, Real time sensing systems and monitoring systems
– NETWORK – Internet – WWW – Cloud Computing
– Lightweight application tools
– Mobile Phones as Platform
• End User Empowerment - The individual can now be a the center of the data
– Geo-tagging all forms of data – video, pictures, text…
– CROWD SOURCING – Mapping, Volunteer Geographic Information
• Commoditization of certain geospatial data
• Mashups
• Syndication - GeoRSS, RSS, Atom
• Virtual Reality, 3d Visualization, modeling
• Neogeography: Participatory GIS, Public Participatory GIS, Geo Hackers
• Semantics, RDF, OWL
• Web Services, Map Services
• Location Based Services
• SPATIAL Temporal Relationship – opportunity for pattern discovery, trends
• Imagery Datasets covering the globe
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New Challenge
• Discussion used to be 80% of all data has a geospatial reference – How do we get that data exposed to make it geo smart?– How do we get that data into the enterprise?– How do we address the limitations imposed by technology, standards and computing
• Today the percentage is > 90%, its accessible and more prevalent thanks to:– Ubiquity of GPS/Smart phones platform– Spatial Aggregators of base mapping information and– Visualization and mapping tools available to the masses– Enterprise Service providers have made geo-coding services available to the masses
• Routing, Navigation, Location based services • Geo-tagging services
• Today’s questions is how are we going to get that data out of the organizations / enterprises into a value generating ecosystem that addresses:
– Freshness– Consistency– Trust - to support sustainable reliable business practices – Reliable services or data exposure– Inter domain usability
ParticipateConnectDiscover
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133
Ecosystem - geo enablement and gov. data
Why is the geospatial supply side so valuable?
It has been and continues to feed the ecosystem
Its a lot about existing government data and services!
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It is about the Crowd crowd source Mapping - Open Street Maps – Gov. data
http://www.openstreetmap.org/
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It is Real Time:Real Time – Health Tracking – Haiti – government data failed!
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http://www.geonames.org/maps/showOnMap?q=Istanbul
It is extensible:Geonames – Linked Data – Government data
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Information/Mapping –Geo Commons – Government Data
http://geocommons.com/maps/14718
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http://www.tagzania.com/near/41.014/28.95/
Tagzania -Personalized Maps - value added data
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139
The End
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Its Fun - Heywhatsthat.com – Mt. Ararat
http://www.heywhatsthat.com/
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Its about the Person: Foursquare – Personalization of Geography
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http://geotree.geonames.org/745042/
Names Tree Structure – Gov data
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http://www.arcgis.com/home/webmap/viewer.html
It is flexible:Mashups- ArcGIS.com Gov. Data
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http://www.maptube.org/map.aspx?s=DLHLGAyxgMl8ClwcscscmcClwcscscECwKXByxyx
Map Tube: Digital Cartography – Gov. Data
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CreatingCreating GeospatialGeospatial AppsApps
In The Context of Open DataIn The Context of Open Data
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GIS Is Already Successful In Government
Thousands of Systems - Improving How We Manage And Make Decisions
Creating An Enormous Repository Of Geographic Data . . .
. . . A New Type Of Societal Infrastructure
Public Housing
and Social Risk
Disaster Response
Socio/Economic
Analysis
Site
Selection
Environmental Management Agriculture
Transparency & Accountability
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Many Forces Are Converging
Enabling a Pervasive Geospatial Platform
. . . Opening Our World to Everyone
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A Geospatial Platform Is Emerging
A Distributed Network of Data and Services . . .
Enabling Many New Types of Applications . . .
. . . Bringing GIS to Everyone
Business
Government
Academia
NGOs / CitizensNGOs / Citizens
GeoServices
Discoverable
Accessible
Open
GIS Applications
Crisis Management
Open Government
Citizen ScienceiPhone
Apps
Citizen
Reporting
Crime Mapping
GeoSpatial
Portal
Data.Gov
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This Is Already Being Implemented In Many Countries
Singapore
European Environment Agency
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Many Organizations Are Participating
Creating Geographic Knowledge and Making it Available
• Sharing Data
• Serving Maps and Geo-Apps
• Developing Collaborative
Approaches
. . . Using Maps as a Language to Engage Everybody
Citizens
KnowledgeKnowledge
Workers
Analysts
MobileMobile
Users
ExecutivesExecutives
…And Others…And Others
Real Time Multi Sensor Integration
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Open And Interoperable Standards Are Important
Expanding Access and Ensuring Integration
esri Published REST
Interface as an Open Standard
Any ApplicationAny Application
REST APIREST API
Open REST API
Data Data
(GDB)
REST
Flex
Silverlight
Open API’s
SOAP
WCS
ISO
KMLWFS
CAD
WWW
SQL
INSPIRE
Standards
OGCJava
WMS
Open Data Access
SHP
SPARQLSPARQL
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Creating a Vibrant Open Data Community
Map
Services
Applications
Open
API
Open
API
Open
Tools
Publishing Geo-Services
Data Integration
Semantic Integration
Sharing and Discovery
Software
Free and Simple Applications
Open Tools For Developers
Full GIS Tools
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DemonstrationsDemonstrations
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Take Away Points
What have you seen?
• Potential of having open geoservices beyond
downloadable files
• Reuse of content in many different apps and devices
• Need reliable, high-performing services
• Easy to use sharing and collaboration tools