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Eye on the Prize: Assessing the success of metadata CAP grants

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Eye on the Prize: Assessing the success of metadata CAP grants Chris Cialek Minnesota Land Management Information Center ASPRS Annual Conference Denver, CO – PowerPoint PPT presentation

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Title: Eye on the Prize: Assessing the success of metadata CAP grants


1
Eye on the PrizeAssessing the success of
metadata CAP grants
  • Chris Cialek
  • Minnesota Land Management Information Center
  • ASPRS Annual Conference
  • Denver, CO
  • May 25, 2004

2
Metadata
  • Implemented as an information system
  • An innovation that requires
  • Standards
  • Software
  • New processes
  • New business practices
  • New commitments
  • Challenge developing implementation strategy

3
Diffusion Theory
  • Diffusion is the process by which an innovation
    is adopted and gains acceptance by members of a
    certain community. Everett
    Rogers

4
Diffusion Theory
  • Perceived Attributes adopters judge an
    innovation based on their perceptions
  • can be tried on a limited basis before adoption
  • offers observable results
  • has an advantage relative to the status quo
  • is not overly complex
  • is compatible with existing practices and values

5
Diffusion Theory
  • Rate of Adoption

6
A State MetadataImplementation Plan
  • Provide a Metadata Standard
  • (3. Advantage, 4. Complexity)
  • Distribute Free Software for Collecting Metadata
  • (1. Trialable, 2. Observable, 3. Advantage)
  • Offer Web-based Search Capabilities
  • (2. Observable, 3. Advantage)
  • Provide Training Support
  • (5. Compatible)

7
Applying the PlanProvide a Metadata Standard
8
Applying the PlanDistribute Metadata Collection
Software
Format Converter
DataLogr
ArcCatalog
9
Applying the PlanOffer Web-based Search
Capabilities
10
Applying the PlanProvide Training Support
11
CAP Motivates Action
  • TWO GRANTS COMPLETED
  • 146 metadata records created
  • 12 training events held statewide 64 orgs
    represented
  • 3 new Clearinghouse nodes created
  • 2 state strategic planning sessions held
  • Metadata branding study conducted
  • Collection software made available online
  • 2 state awards received
  • State matched 95

12
Success Example
Clearinghouse technology has dramatically
increased LMICs data delivery effectiveness
Data Deliveries
13
Metadata TimelineOnline Records Major Events
CAP I
CAP II
1st MN Metadata Workshop
FGDC Video- conference
14
Reasons for Optimism
  • A new wave of adopters seems to be emerging
  • Student workshop attendees asking for instruction
    in their new workplaces
  • Those beyond core adopters are collaborating
  • Local government advocates are publishing
  • Number of metadata mentors is growing
  • Unsolicited records are submitted to
    Clearinghouse
  • Neighboring states/provinces are sharing ideas

15
Observations from CAP Experience
  • Stated goals (e.g. build the NSDI all data
    discoverable) may mask more subtle achievements
  • A second generation of innovators adopters may
    be emerging
  • CAP funding provides persistent resources to help
    proceed through adoption ramp-up
  • Minnesotas metadata implementation plan would
    have little traction without FGDC support

16
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