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Mobile Observation System for Field Data Collection

This presentation discusses the goals and overview of a mobile observation system for efficient field data collection, improving compatibility across projects, and promoting interoperability through reusable data structures. The system workflow, support for variable data models, implications for citizen science, and status of system components are also covered.

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Mobile Observation System for Field Data Collection

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  1. Mobile Observation System for Handheld Field Data CollectionLori Scott ] [ TDWG Annual Conference September 27, 2010 Woods Hole, MA

  2. Outline • Mobile Observation System goals • System overview • Improving field data compatibility across projects with survey templates • Implications for citizen science

  3. Mobile Observation System Goals • Improve field data collection efficiency • Increase mapping accuracy with GPS • Promote interoperability through reusable data structures How similar are the data structures used by two organizations for the same type of observation?

  4. Data Collection Workflow • Three basic steps, supported by corresponding system components: • Preparation (office) • Collection (field) • Finalization (office)

  5. System Workflow Users: • Createtemplates • Enter, clean up and validate data • Export data to target system Mobile Observation System: • Processes a set of templates to producefieldforms and a stagingdatabase • Synchronizeshandheld data withstagingdatabase • Providescleanup and validation utilities • Exports records to Kestrel or other observation databasesystems

  6. Desktop Application Suite • Configure projects • Process data collection templates for field work • Clean up and QC field data • Export field data to long-term observation database

  7. Handheld Device • Compatible with Windows mobile hardware • 3rd party software used: • Pendragon forms builder • Esri ArcPad • Captures GPS location

  8. Template Library • Online collaboration tool to define and share data structures • What protocols are used to collect particular types of data? • How have others organized their data collection projects?

  9. Supports Variable Data Models Taxon-based protocols:

  10. Supports Variable Data Models Location-based protocols:

  11. Implications for Citizen Science • Template Library supports a wide array of protocol types • Organized citizen science efforts can find, create and disseminate protocol templates • Use of common data structures improves compatibility across multiple projects • Core system components can be adapted for smart phone devices

  12. Status • Data collection components complete • Field testing in progress • Development in progress for: • Template library interface • Data export tools • Available for wider use next year

  13. System Components - Status Testing in Progress: • Mobile Config Tool • PendragonForms Utilities • Desktop Editor • Validation Utilities In Development: • Observation Template Library • Export Tool

  14. Project Collaborators • Cornell Lab of Ornithology • New York Natural Heritage Program • Washington Natural Heritage Program • University of New Mexico • University of Wyoming

  15. Acknowledgments National Science Foundation This project is supported by the National Science Foundation under Grant No. DBI-0547630 Trimble For the donation of four JunoTM handheld units for testing

  16. Questions? Contact Info: lori_scott@natureserve.org 703-908-1877 http://www.natureserve.org/projects/handheld/

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