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GIS Shared Services From Ground to Cloud . IPMA Forum 2012 May 22, 2012 Panel Discussion. Speakers & Topics. Joy Paulus, OCIO – Background Michael DeAngelo, DFW – Vision, Governance & Budget Tim Young, DFW - Technology & Staffing Ron Holeman, DNR – Sharing Data and Services - PowerPoint PPT Presentation
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GIS Shared Services
From Ground to Cloud
IPMA Forum 2012May 22, 2012Panel Discussion
Speakers & Topics
Joy Paulus, OCIO – BackgroundMichael DeAngelo, DFW – Vision, Governance & BudgetTim Young, DFW - Technology & StaffingRon Holeman, DNR – Sharing Data and ServicesAlan Smith, WSDOT – Benefits of Cloud ComputingDan Saul, ECY – Considerations of “Freeing the Data”
Background
Joy Paulus, Office of the CIO
Background
geography.wa.gov
Vision, Governance & Budget
Michael DeAngelo, Dept. of Fish and Wildlife
Vision Most, if not all, data will have spatial elements Consumers of the data will expect a spatial dimension Build the capability to:
Allow more agencies to participate Rapid deployment of new services Share costs in an equitable way Incentivize innovation, sharing, and adoption Make it easier to share data with the public Make the data easily consumable
Budget Historical Budget challenges
Hat-in-hand approach won’t scale Level of funding was limiting:
Deployment of new services Public access to data
Agencies incurred higher costs to maintain services that had a shared value
Structure discouraged innovation and collaboration Individual Agencies left holding the M&O bag
Governance Rules/parameters/process for making data and
services available to the public Authoritative sources of information Organization and descriptions of data
Rules/parameters/process/agreements around making data and services available to other agencies Ownership and maintenance of data Change management of the service Rules of consumption?
Technology, BC
Tim Young, Dept. of Fish and Wildlife
Technology Timeline
Kickoff
Kickoff
1977 Cartography, Manual Workflow
Printed Circuit Board Design
Innovation
1977 Digital Mapping System
Shared Data and Applications
Shared Data & Applications
Technology Mainstreaming
Technology Mainstreaming
GIS on the Web
GIS on the Web
Google Earth
Shared Services
Shared Services
The Cloud
The Cloud
The Cloud, Epilogue
Action 12 Study how to attract and retain highly skilled technology staff and build up technology interest groups that function as robust communities in state government
Sharing Data and Services
Ron Holeman, Dept. of Natural Resources
Sharing Data: Sneaker-net to Internet
25 year history of sharing GIS data Cooperative data collection Evolving with technology
Sneaker net Internet
Much data, many sites
Example: geography.wa.gov
From Data to Services 2009 created GIS Services Sharing Group
Why not share? Federated vs. centralized approaches 200 GIS services – 5 agencies Why haven’t we succeeded?
May not be part of core business Lack of capacity to serve the ‘world’ Not wanting to hand over control
Needed to Facilitate Sharing Governance Security Discovery Configuration Management Change Management
Benefits of Cloud Computing
Alan Smith, WSDOTDelivering Scalable, Sustainable, Spatial Information Products
Incident Location Tool
Client Application
Map ContentTools/services
Vendor
WSDOT
WA GeoPortalWSDOT
Vendor
WA GeoPortal
Enterprise UseMap ContentTools/services
WSDOT
WA GeoPortalWSDOT
Vendor
WA GeoPortal
Field Crews
Business Areas
Public
Operations Center
Vendor
Delivering scalable, sustainable, Spatial Information Products
Spatial Information Products Geo-referenced Data – X,Y, street address,
measure along a feature, distance/direction from a feature
Cartography – map service, feature service, image service
Geoprocessing services – find an address, find a map feature, measure, query spatial relationships
Applications – A collection of the above, designed to perform a specified function
Delivering scalable, sustainable, Spatial Information Products
Scalable Scale - The extent of consumers from small work
group to global/public Scale - From Single server to large cloud Scale - The consuming platform from one to many
(server, desktop, web, mobile…)
Delivering scalable, sustainable, Spatial Information Products
Sustainable Generic functionality – generally useful is more
sustainable than highly customized Minimal dependencies – “hot swappable” data and
service interfaces Modular - plug/unplug components (Geo-
referenced Data, Cartography, Geoprocessing services)
Benefits of implementing a services based architecture
Easier to share products (maps and services) across business areas and applications
Data and/or services can be replaced with minimal impact
Relatively easy and frequent reuse increase ROI
Benefits of a cloud hosted services based architecture
Automatic seasonal/event scalability Easier to share products (maps and services) across
departmental / organizational boundaries Reduce redundancy (data, services) Exposes redundant information products, published
by different organizations.
Risks/Challenges (opportunities for improvement)
It’s an additional environment to manage. If badly managed it can lead to orphaned data and
service. Could expose “bad” products (data, service), requiring
some action. Products are more easily discovered and used by less
informed consumers. It’s difficult to know who/what is consuming your services.
“Free The Data” - Easier Said Then Done
Dan Saul, Dept. of Ecology
Implications of Freeing your Data
exposure to a range of new classes of users new users that you may be surprised at attempting to “mashup” your data into new
combinations more eyes on your data your data may be misunderstood more errors, omissions reported expectations that problems be corrected
What do we know about users of Freed Data?
high expectations and curiosity are familiar with Google and Bing Maps expect that your map will perform and interact similarly
to the big boys won’t waste time on your site if they can’t quickly
understand it are curious about their neighborhood or a particular
cause just want to solve their problem and move on
Get ready for Freed Data easy to display and digest consider normalization and generalization scale appropriate presentation suitable basemap to put under your data metadata presented in a convenient format present in the Web Mercator projection for mashups? enable users to comprehend, analyze and detect
trends
Presenting the Freed Data carefully consider the user interface recruit the assistance of a good web designer consider the many platforms available to consume
your data: Desktop/laptop computer tablet smartphone
resist the temptation to add lots of tools and widgets provide a “contact us” form to gather feedback
Parting Thoughts
Keep It Simple - be minimalist and only implement what is needed
Usability is paramount to your success
Questions?
Panelists:Michael DeAngelo, DFW CIOTim Young, DFW GIS Data Services ManagerRon Holeman, DNR GIS Team LeaderAlan Smith, WSDOT GIS Branch ManagerDan Saul, ECY GIS Manager
Moderator: Joy Paulus, State GIS Coordinator