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In just a few short years, the I&M networks have become known as a key source and supplier of reliable, organized, and retrievable information about parks that was formerly unavailable, misplaced, or lost to managers and others who needed the information for sound decisions or sound science.

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how did we get here

In just a few short years, the I&M networks have become known as a key source and supplier of reliable, organized, and retrievable information about parks that was formerly unavailable, misplaced, or lost to managers and others who needed the information for sound decisions or sound science.

How did we get here?

natural resource data are valuable and irreplaceable
Natural resource data are valuable and irreplaceable

Starting premises:

  • Data are essential for well-reasoned and defensible decisions affecting park resources
  • Data are perishable: they must be responsibly managed and cared for long-term
  • The value of data increases the more they are used, shared, and integrated with other information
old habits are hard to break
Old habits are hard to break .
  • Studies have been done, but data not accessible.
    • stored at universities, different locations
    • old dBase or Lotus 123 or Excel files, but don’t know what the columns are
    • data sheets and folders full of papers
    • big, thick report sitting down on the library shelf.
  • Studies have been done, but current staff doesn’t know about them.
  • Data are in electronic format, but nobody has the time or skill to do analysis.
  • The scientists have the information, but the managers do not.
without good data management planning and practices
Without good data management planning and practices:

Starting premises:

  • Information is lost
  • Data do not survive turnovers of personnel-- institutional knowledge is gone
  • We waste money
  • We reinvent the wheel
  • Information is not available for good decision-making
  • Information is not available to the public to help build constituencies
slide5

“Data Management Challenge”: How do we ensure that the information we gather is available now, and lasts generations beyond us?

data management lessons learned so far
Data Management lessons learned so far
  • Commit dollars and staff to data management
  • Planning and documentation are key
  • Keep it top-down and bottom-up
  • Build a community of data managers
  • Herd the cats
  • Listen to users
  • Plan for change
commitment to data management at i m networks
Commitment to Data Management at I&M Networks
  • At a minimum, 30% of network resources is allocated to data management and reporting.
  • Every I&M network hires a full-time, permanent Data Manager
  • Recognition that data management and associated reporting are critical components of a successful NR program; they are the bridge between science and management.
planning and documentation are key
Planning and Documentation Are Key
  • Every network produces and maintains a formal Data Management Plan; standard operating procedures; metadata
bottom up plus top down approach works best
Bottom-up plus top-down approach works best

WASO

Networks

strong

guidance

weak

2008

>

time

build a culture of data management
Build a “culture of data management”
  • 32+ I&M data managers: varied backgrounds, expertise, perspectives. Great collaboration.
  • Share code, methods, ideas, solutions
  • Listserves; annual meetings; grapevine
herd the cats
Herd the Cats
  • Keep divergence within bounds but allow flexibility
  • Vigilance needed to ensure data management programs remain focused and meet established standards
listen to your users and plan for change

“Memo to self: ‘Feathers?’”

Listen to your users, and plan for change
  • Two, five, ten years down the road – what will we be facing?
  • Listen to your users: what are their ideas, needs, gripes, worries, problems, successes?
irma integration of resource management applications
IRMA – Integration of Resource Management Applications
  • Major restructuring of natural resource information management at the Natural Resource Program Center in Fort Collins.
  • Position us for growth in the next decade
slide14

Taxonomy

Park Unit Code

Vouchers

Observations

References

Data Sets

POC Tools

Access Control

Park Status

Data Entry

Data Downloads

ANCS_

Reports

Taxonomy

Park Unit Code

Vouchers

Observations

References

Data Sets

POC Tools

Access Control

Park Status

Data Entry

Data Downloads

ANCS_

Reports

Taxonomy

Park Unit Code

Vouchers

Observations

References

Data Sets

POC Tools

Access Control

Park Status

Data Entry

Data Downloads

ANCS_

Reports

IRMA: silos are deconstructed into reusable, multipurpose “services”

Silos: stand-alone systems that duplicate data and don’t interact well

user identity

park code

references

data sets

access control

data entry

data downloads

reports

observations

taxonomy

vouchers

NPSpecies

user identity

park code

references

taxonomy

access control

observations

user identity

park code

references

data sets

access control

data entry

data downloads

data uploads

reports

Data Store

user identity

park code

references

data sets

access control

data entry

data downloads

data uploads

reports

NatureBib

NatureBib/

Data Store

APCAM

RPRS

ATBI

Build once, use many times

Taxonomy

Park Unit Code

Vouchers

Observations

References

Data Sets

POC Tools

Access Control

Park Status

Data Entry

Data Downloads

ANCS_

Reports

Taxonomy

Park Unit Code

Vouchers

Observations

References

Data Sets

POC Tools

Access Control

Park Status

Data Entry

Data Downloads

ANCS_

Reports

slide15

Building the IRMA Infrastructure: now underway

Resource Data

Supporting Services

Frameworks

Processes

Foundation

for more information
For more information:
  • I&M Data Management:
    • http://science.nature.nps.gov/im/datamgmt/
    • http://www1.nrintra.nps.gov/im/datamgmt
  • Natural Resource Information Portal:
    • http://nrinfo
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