Developing a Conservation DataSharing Network for the Island of         Maui, Hawai„i         Samuel N.R. AruchNatural Res...
•   Background•   Conservation partner relationships and needs•   Maui Data Hui•   Partner data infrastructure•   Data sha...
BackgroundTerrestrial conservation implementation in Hawaiʻi   • Many challenges   • Ecosystem level threats   • Managemen...
Partner relationships                           The Nature                          Conservancy                           ...
Partner relationships
Needs – Extreme and costly logistics in remote areas
Needs - Track the status of work performed
Needs – Measure effectiveness and share accomplishments
Needs- Locate and share threat informationTreatedObservedMisidentified
Maui Data Hui (group)   • A bottom up approach   • Informal group of mid-level on the ground managers   • Meeting since 20...
Collaborative standards- Fences•   Fence Name•   Fence Section•   Status (complete, partial, proposed, unmaintained, remov...
Individual partner database infrastructure• Local data management via linked MS Access & ArcGIS desktop• Each program has ...
Partner infrastructure - “Real time” local data management
Partner infrastructure - “Real time” local data management
Partner infrastructure - “Real time” local data management
The next step: developing a data sharing infastructure:                                oolEnterprise level data sharing st...
Data sharing infrastructure  • Retrofit existing workflow (do not create more work)  • Participants have access to raw dat...
Data sharing implementation – 3 different scenarios Check        Local user in/ Out      interface and              data t...
Sharing workflow                        Local database                   User chooses to log in to server
Initiate sync on existing database
Login to server
Status message                       Local database                 User chooses to log in to server          Status messa...
Status message
Sending data                        Local database                  User chooses to log in to server           Status mess...
User sends data to the server
Sharing workflow                         Local database                   User chooses to log in to server          Status...
Master data can be imported or linked to users database
Sharing workflow                         Local database                   User chooses to log in to server          Status...
Data as a service
Data as a service
Benefits of data sharing   • Watershed to archipelago scale decision support tools   • Communication with funders, manager...
Products– Watershed management and resource analysis                                  * Sample data for illustration only
Products – Landscape scale status assessments                                  * Sample data for illustration only
Products – Strategy, efficiency, and collaboration
Maui Data Hui lessons learned   • Build momentum, collaboration, and relationships   • Work from the bottom up and top dow...
Long term goals  • More partners / more data / more fun  • Experiment with more sharing tools  • Mobile tools for managers...
Potential for partnership data sharing
Summary  • Hawaiʻihas landscape scale ecosystem threats  • Conservation partnerships have shared goals and logistics  • Co...
Maui Data Hui collaborators and contributors• East Maui Watershed Partnership (EMWP)• West Maui Mountains Watershed Partne...
Sam AruchNatural Resource Data Solutions808-895-4542samaruch@gmail.com
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Hawaii Pacific GIS Conference 2012: Natural Resource Management - Developing a Conservation Data Sharing Network for the Island of Maui, Hawaii

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Hawaii Pacific GIS Conference 2012: Natural Resource Management - Developing a Conservation Data Sharing Network for the Island of Maui, Hawaii

  1. 1. Developing a Conservation DataSharing Network for the Island of Maui, Hawai„i Samuel N.R. AruchNatural Resource Data Solutions LLC Penn State MGIS- Capstone
  2. 2. • Background• Conservation partner relationships and needs• Maui Data Hui• Partner data infrastructure• Data sharing implementation• Benefits of data sharing• Lessons learned• Next steps
  3. 3. BackgroundTerrestrial conservation implementation in Hawaiʻi • Many challenges • Ecosystem level threats • Management across land owner boundaries
  4. 4. Partner relationships The Nature Conservancy Maui Program West Maui East Maui Mountains Watershed Logistics Goals Watershed Logistics Partnership Partnership Maui Invasive Species Committee
  5. 5. Partner relationships
  6. 6. Needs – Extreme and costly logistics in remote areas
  7. 7. Needs - Track the status of work performed
  8. 8. Needs – Measure effectiveness and share accomplishments
  9. 9. Needs- Locate and share threat informationTreatedObservedMisidentified
  10. 10. Maui Data Hui (group) • A bottom up approach • Informal group of mid-level on the ground managers • Meeting since 2008 • 2 - 4 x per year • Sharing tools and ideas • Voluntary collaborative standards
  11. 11. Collaborative standards- Fences• Fence Name• Fence Section• Status (complete, partial, proposed, unmaintained, removed)• Source (hand-drawn, GPS)• Agency Built (TNC, EMWP, NPS, etc…)• Agency Managed (TNC, EMWP, NPS, etc…)• Purpose (pig, deer, dirt bike, cattle, etc…)• Material (hogwire, mesh, barb, hog panels, etc…)• Apron (yes, no, partial)• Height ( # in feet)• Length (from GIS)• Last Check (from database)• Condition (from database)
  12. 12. Individual partner database infrastructure• Local data management via linked MS Access & ArcGIS desktop• Each program has unique needs (i.e. sensitive data, capacity, and work flows)• Standards are implemented when developing
  13. 13. Partner infrastructure - “Real time” local data management
  14. 14. Partner infrastructure - “Real time” local data management
  15. 15. Partner infrastructure - “Real time” local data management
  16. 16. The next step: developing a data sharing infastructure: oolEnterprise level data sharing structure for conservation partners onthe island of Maui.Working with two examples of shared data sets • Ungulate exclosure fences (cows, pigs, deer, goats) • Weed control
  17. 17. Data sharing infrastructure • Retrofit existing workflow (do not create more work) • Participants have access to raw data • Data can be served over the web • Prototyped with UH – CCRT infrastructure • VPN to connect local access database to SQLServer • MS SQLServer and ArcGIS Server to store and serve data • Still under development / testing
  18. 18. Data sharing implementation – 3 different scenarios Check Local user in/ Out interface and data tables Shared data server Hosted User interface onlyAggregated/ Aggregated/Filtered filtered data Local userExport interface and data tables
  19. 19. Sharing workflow Local database User chooses to log in to server
  20. 20. Initiate sync on existing database
  21. 21. Login to server
  22. 22. Status message Local database User chooses to log in to server Status message alerts user to new data to send
  23. 23. Status message
  24. 24. Sending data Local database User chooses to log in to server Status message alerts user to new data to send User chooses to send data to server
  25. 25. User sends data to the server
  26. 26. Sharing workflow Local database User chooses to log in to server Status message alerts user of new data to send User chooses to send data to server Server Data is aggregated and served
  27. 27. Master data can be imported or linked to users database
  28. 28. Sharing workflow Local database User chooses to log in to server Status message alerts user of new data to send User chooses to send data to server Server Data is aggregated and served Web
  29. 29. Data as a service
  30. 30. Data as a service
  31. 31. Benefits of data sharing • Watershed to archipelago scale decision support tools • Communication with funders, managers, and partners • Enhance strategy, efficiency, and collaboration • Accountability • Continuity in perpetuity
  32. 32. Products– Watershed management and resource analysis * Sample data for illustration only
  33. 33. Products – Landscape scale status assessments * Sample data for illustration only
  34. 34. Products – Strategy, efficiency, and collaboration
  35. 35. Maui Data Hui lessons learned • Build momentum, collaboration, and relationships • Work from the bottom up and top down • Data compatibility and consistency • Information security and trust • Don‟t reinvent the wheel • Usability • Time
  36. 36. Long term goals • More partners / more data / more fun • Experiment with more sharing tools • Mobile tools for managers • Build long term support
  37. 37. Potential for partnership data sharing
  38. 38. Summary • Hawaiʻihas landscape scale ecosystem threats • Conservation partnerships have shared goals and logistics • Conservation partnerships need to share data • The Maui Data Hui is facilitating data sharing from the bottom up • Building momentum and collaboration • Measurable benefits of collaboration • Open to new ideas and tools
  39. 39. Maui Data Hui collaborators and contributors• East Maui Watershed Partnership (EMWP)• West Maui Mountains Watershed Partnership (WMMWP)• Maui Invasive Species Committee (MISC)• The Nature Conservancy of Hawaiʻi – Maui Program (TNC- Maui)• Puʻu Kukui Watershed Preserve (PKW)• Plant Extinction Prevention Program – Maui (PEP)• Leeward Haleakalā Watershed Restoration Project (LHWRP)• USGS – Pacific Basin Information Node (USGS- PBIN)• Maui Forest Bird Recovery Project (MFBRP)• Department of Land and Natural Resources Natural Area Reserves System - Maui (Maui NARS)• Haleakalā National Park• University of Hawaiʻi- Center for Conservation Research and Training (UH - CCRT)• Hawaiʻi Conservation Alliance (HCA)
  40. 40. Sam AruchNatural Resource Data Solutions808-895-4542samaruch@gmail.com

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