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~ The power of many ~

~ The power of many ~. Greg Newman 1 , Russell Scarpino 1 , Brian Fauver 1 , Alycia Crall 2 , and Jim Graham 3. “ many people, many programs, and a common goal”. 1 Natural Resource Ecology Laboratory, Colorado State University 2 Rutgers University and University of Wisconsin, Madison

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~ The power of many ~

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  1. ~ The power of many ~ Greg Newman1, Russell Scarpino1, Brian Fauver1, Alycia Crall2, and Jim Graham3 “many people, many programs, and a common goal” 1Natural Resource Ecology Laboratory, Colorado State University 2Rutgers University and University of Wisconsin, Madison 3Department of Geosciences, Oregon State University Public Participation in Digitization of Biodiversity Specimens Workshop Gainesville, FL

  2. “Tell me and I'll forget; show me and I may remember; involve me and I'll understand” ~ Chinese Proverb basic tenets

  3. basic tenets “Learn from the masses, and then teach them” ~ Mao Tse-Tung work with them

  4. “The art of teaching is the art of assisting discovery” ~ Mark van Doran basic tenets doing research digitizing specimens

  5. elements of success crowdsourcing projects * Adapted from Michael Neilsen. 2012. Reinventing Discovery. “Shared Praxis” “Amplified Collective Intelligence” “Restructured Expert Attention”

  6. solve puzzles for science

  7. classify galaxies

  8. unravel protein structures

  9. make species observations

  10. review products

  11. find & vet pest id guides

  12. create new projects

  13. so why not iDigBio?

  14. digitize biological specimens

  15. getting help brief overview of available support resources best practices tools/platforms related working groups

  16. resources www.citizenscience.org www.scistarter.com citizenscienceacademy.org

  17. best practices www.citizenscience.org caise.insci.org wiatri.net/cbm/

  18. tools / platforms www.apiaryproject.org symbiota.org specifysoftware.org www.helpingscience.org zoo / notes from nature www.lifemapper.org volunteer.ala.org.au

  19. working groups DataONE USGS

  20. many people, many programs, and a common goal B Integrated Digitized Biocollections D A C

  21. my experiences www.citsci.org

  22. www.CitSci.org web-based platform supporting PPSR projects supports full spectrum of project needs Build Data Sheets Begin with the end in mind Manage Members Collect Data Create Projects Analyze Data Get Feedback Interpret Data Share Results

  23. www.CitSci.org web-based platform supporting PPSR projects supports full spectrum of project needs Buy Burritos! ID Protocols ID Scientists Develop Trainings ID Methods Train Members Build Data Sheets Begin with the end in mind Transcribe Data Manage Roles Order Supplies Manage Members Collect Data Do QA/QC Digitize Specimens Market Project Create Logic Model Ask Questions Formative Evaluation Run Statistics Create Projects Analyze Data Integrate Data Summative Evaluation Get Feedback Interpret Data Summarize Visualize Give Surveys Share Results Write Metadata

  24. key to success a CitSci.org perspective

  25. project coordinators (mavens)! project coordinators! volunteers! scientists

  26. be a system where anyone, anywhere can create new projects themselves “scratch your own itch”

  27. key approaches allow managers to customize user interfaces empower customizable data sheets collaborative attribute definition make use of dashboards offer various roles summary stats analyses

  28. custom user interfaces Manage Tabs Change Position Show/Hide Make Active

  29. customizable data sheets Manage Data Sheets (create / print / edit) Add Species Add Attributes Add Site Characteristics

  30. collaborative attribute definition collaborative measurements shared vocabularies "If you want to measure it, you can measure it... ...but be sure someone else is not already measuring it!"

  31. dashboards project profile page observation page species page my profile

  32. roles project coordinators / managers experts / authorities contributors expedition leader, scientist, collection managers, technical officers

  33. summary stats

  34. customize analyses Dependent Variable (y) Independent Variable (x)

  35. what does this all mean? people management data management data integration data sharing

  36. the iDigBio cloud service-based architecture

  37. the iDigBio cloud Project C engaging the public Project B Project D Project A TSN 2 TSN 1

  38. in summary…

  39. allow others to create their own projects What do you want your members to do? Enter data? See photos? Provide feedback? Perform analyses?

  40. empower your gatekeepers Inbox - Pending Requests Send Email Post Links Post Trainings

  41. share results and offer custom analyses Dependent Variable (y) Independent Variable (x)

  42. allow others to give feedback Design Questions View Real-Time Results

  43. customizable, open, flexible yet… encourage standardization wherever possible

  44. acknowledgements My Amazing Team! NREL & CSU DataONE NSF

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