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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 May 25, 2004. Metadata. Implemented as an information system An innovation that requires: Standards Software New processes

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Eye on the prize assessing the success of metadata cap grants

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

Chris Cialek

Minnesota Land Management Information Center

ASPRS Annual Conference

Denver, CO

May 25, 2004


Metadata
Metadata

  • Implemented as an information system

  • An innovation that requires:

    • Standards

    • Software

    • New processes

    • New business practices

    • New commitments

  • Challenge: developing implementation strategy


Diffusion theory
Diffusion Theory

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


Diffusion theory1
Diffusion Theory

  • Perceived Attributes: adopters judge an innovation based on their perceptions:

    • can be triedon a limited basis before adoption

    • offers observableresults

    • has an advantage relative to the status quo

    • is not overly complex

    • is compatiblewith existing practices and values


Diffusion theory2
Diffusion Theory

  • Rate of Adoption:


A state metadata implementation plan
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)


Applying the plan provide a metadata standard
Applying the PlanProvide a Metadata Standard


Applying the plan distribute metadata collection software
Applying the PlanDistribute Metadata Collection Software

Format Converter

DataLogr

ArcCatalog


Applying the plan offer web based search capabilities
Applying the PlanOffer Web-based Search Capabilities


Applying the plan provide training support
Applying the PlanProvide Training & Support


Cap motivates action
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%


Success example
Success Example

Clearinghouse technology has dramatically increased LMIC’s data delivery effectiveness

Data Deliveries


Metadata timeline online records major events
Metadata TimelineOnline Records & Major Events

CAP I

CAP II

1st MN Metadata Workshop

FGDC

Video-

conference


Reasons for optimism
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


Observations from cap experience
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

  • Minnesota’s metadata implementation plan would have little traction without FGDC support


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