Speakers & Topics Joy Paulus, OCIO – Background Michael DeAngelo, DFW – Vision, Governance & Budget Tim Young, DFW - Technology & Staffing Ron Holeman, DNR – Sharing Data and Services Alan Smith, WSDOT – Benefits of Cloud Computing Dan Saul, ECY – Considerations of Freeing the Data
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 wont 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
From Data to Services 2009 created GIS Services Sharing Group Why not share? Federated vs. centralized approaches 200 GIS services – 5 agencies Why havent we succeeded? May not be part of core business Lack of capacity to serve the world Not wanting to hand over control
Enterprise Use Map Content Tools/services WSDOT WAGeoPortal WSDOT 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) Its 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. Its 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 wont waste time on your site if they cant 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 CIO Tim Young, DFW GIS Data Services Manager Ron Holeman, DNR GIS Team Leader Alan Smith, WSDOT GIS Branch Manager Dan Saul, ECY GIS Manager Moderator: Joy Paulus, State GIS Coordinator