eye on the prize: assessing the success of metadata cap grants chris cialek minnesota land...
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Diffusion Theory Diffusion is the process by which an innovation is adopted and gains acceptance by members of a certain community. Everett RogersDiffusion is the process by which an innovation is adopted and gains acceptance by members of a certain community. Everett RogersTRANSCRIPT
Eye on the Prize:Eye on the Prize:Assessing the success Assessing the success
of of metadata CAP grantsmetadata CAP grants
Chris CialekChris CialekMinnesota Land Management Minnesota Land Management
Information CenterInformation Center
ASPRS Annual ConferenceASPRS Annual ConferenceDenver, CODenver, CO
May 25, 2004May 25, 2004
Metadata Metadata • Implemented as an information systemImplemented as an information system• An innovation that requires:An innovation that requires:
– StandardsStandards– SoftwareSoftware– New processesNew processes– New business practicesNew business practices– New commitmentsNew commitments
• Challenge: developing implementation Challenge: developing implementation strategystrategy
Diffusion TheoryDiffusion Theory
• Diffusion is the process by which an Diffusion is the process by which an innovation is adopted and gains innovation is adopted and gains acceptance by members of a certain acceptance by members of a certain community. community. Everett Everett RogersRogers
Diffusion TheoryDiffusion Theory• Perceived Attributes: adopters judge an Perceived Attributes: adopters judge an
innovation based on their perceptions:innovation based on their perceptions:
1.1. can be can be triedtried on a limited basis before on a limited basis before adoptionadoption
2.2. offers offers observableobservable resultsresults3.3. has an has an advantageadvantage relative to the status quo relative to the status quo4.4. is not overly is not overly complexcomplex5.5. is is compatiblecompatible with existing practices and with existing practices and
valuesvalues
Diffusion TheoryDiffusion Theory• Rate of Adoption: Rate of Adoption:
A State MetadataA State MetadataImplementation Plan Implementation Plan
• Provide a Metadata StandardProvide a Metadata Standard(3. Advantage, 4. Complexity)(3. Advantage, 4. Complexity)
• Distribute Free Software for Collecting Distribute Free Software for Collecting MetadataMetadata(1. Trialable, 2. Observable, 3. Advantage(1. Trialable, 2. Observable, 3. Advantage))
• Offer Web-based Search CapabilitiesOffer Web-based Search Capabilities(2. Observable, 3. Advantage)(2. Observable, 3. Advantage)
• Provide Training & SupportProvide Training & Support(5. Compatible)(5. Compatible)
Applying the PlanApplying the PlanProvide a Metadata StandardProvide a Metadata Standard
Applying the PlanApplying the PlanDistribute Metadata Collection Distribute Metadata Collection
SoftwareSoftware
DataLogDataLogrr
ArcCatalArcCatalogog
Format Format ConverteConverte
rr
Applying the PlanApplying the PlanOffer Web-based Search Offer Web-based Search
CapabilitiesCapabilities
Applying the PlanApplying the PlanProvide Training & SupportProvide Training & Support
From: stacey stark <stark-stacey@ To: 'Nancy Rader' Date: Thursday, January 15, 2004 12:46 PM Subject: RE: FW: PLS QQ metadata -----Original Message----- I now know what I need to about the data. Thanks for all your help. Tracking down this info has been kind of a nightmare. After this experience I can testify to the NEED for data to have metadata along with it. It gets frustrating when you don't know what it is or where it came from. Thanks again for the help jeff
Workshop Agenda Safeguarding GIS data through Metadata The Minnesota Geographic Metadata Guidelines (MGMG) Fargo-Moorhead Metropolitan COG Clay County GIS Office Moorhead, MN May 13, 2004
9:00 WELCOME: Logistics, introductions 9:15 OVERVI EW: What is metadata? Why should you care?
How are MN’s guidelines linked to national/ international standards?
9:30 MGMG STRUCTURE: How is the MGMG organized? Highlights of some of the most important pieces
10:15 BREAK
10:30 SOFTWARE TOOLS: Programs available to make
metadata collection easier 10:45 EXERCI SE: Using either ArcCatalog or DataLogr software
to edit, display and create metadata
11:45 BREAK
12:00 PUT METADATA TO WORK: Using search engines to find data on the Internet:GeoGateway hands-on demonstration
12:20 METADATA I MPLEMENTATI ON TI PS; Making metadata easier; next steps; preparing for ISO
12:45 QUESTI ONS & DISCUSSI ON 1:00 End of Workshop
CAP Motivates ActionCAP Motivates ActionTWO GRANTS COMPLETED:TWO GRANTS COMPLETED:
– 146 metadata records created146 metadata records created– 12 training events held statewide; 64 orgs 12 training events held statewide; 64 orgs
representedrepresented– 3 new Clearinghouse nodes created3 new Clearinghouse nodes created– 2 state strategic planning sessions held2 state strategic planning sessions held– Metadata branding study conductedMetadata branding study conducted– Collection software made available onlineCollection software made available online– 2 state awards received2 state awards received– State matched 95%State matched 95%
Success ExampleSuccess Example
1
10
100
1,000
10,000
100,000
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
Clearinghouse technology has Clearinghouse technology has dramatically increased LMIC’s data dramatically increased LMIC’s data delivery effectivenessdelivery effectiveness
Data
Del
iver
ies
Metadata TimelineMetadata TimelineOnline Records & Major EventsOnline Records & Major Events
0
100
200
300
400
1996 1997 1998 1999 2000 2001 2002 2003 2004
CAP I CAP II1st MN Metadata Workshop
FGDCVideo-
conference
Reasons for OptimismReasons for Optimism• A new wave of adopters seems to be A new wave of adopters seems to be
emerging:emerging:– Student workshop attendees asking for Student workshop attendees asking for
instruction in their new workplacesinstruction in their new workplaces– Those beyond core adopters are collaboratingThose beyond core adopters are collaborating– Local government advocates are publishingLocal government advocates are publishing– Number of metadata mentors is growingNumber of metadata mentors is growing– Unsolicited records are submitted to Unsolicited records are submitted to
ClearinghouseClearinghouse– Neighboring states/provinces are sharing ideasNeighboring states/provinces are sharing ideas
Observations from CAP Observations from CAP ExperienceExperience
• Stated goals (e.g. build the NSDI; all data Stated goals (e.g. build the NSDI; all data discoverable) may mask more subtle discoverable) may mask more subtle achievementsachievements
• A second generation of innovators & A second generation of innovators & adopters may be emergingadopters may be emerging
• CAP funding provides persistent resources CAP funding provides persistent resources to help proceed through adoption ramp-upto help proceed through adoption ramp-up
• Minnesota’s metadata implementation plan Minnesota’s metadata implementation plan would have little traction without FGDC would have little traction without FGDC supportsupport