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The Suma Project: Integrating Observational Data Assessment Into Space And Service Design

Bret Davidson
April 11, 2013
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The Suma Project: Integrating Observational Data Assessment Into Space And Service Design

Bret Davidson

April 11, 2013
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  1. THE SUMA PROJECT INTEGRATING OBSERVATIONAL DATA ASSESSMENT INTO SPACE AND

    SERVICE DESIGN Jason Casden | Bret Davidson NCSU Libraries
  2. THE PROBLEM Many libraries perform manual counts of people in

    spaces doing something at some time The process involves tedious collection mechanisms, lots of paperwork, and much room for error There is no coordinated effort to help departments analyze their data
  3. by Joyce Chapman, Suma Community development and data analysis specialist.

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  9. SPREADSHEETS Dissimilar formats Fragmentation across time and topic Time-consuming analysis

    We are data conformists.
  10. OUR SOLUTION An open source tablet-based app (well, toolkit) to

    aid library staff in assessment of how patrons are using library spaces. In other words…the gathering, storing, exporting, analyzing, and visualizing of data across spaces/activities/time and around events.
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  15. SUMA PRINCIPLES 1. Support frequent data collection for a wide

    range of initiatives 2. Provide useful and usable tools for a wide range of staff 3. Support the integration of data querying and exploration into regular decision-making processes
  16. DATA COLLECTION

  17. SUMA DATA COLLECTION

  18. SPACE ANALYTICS Routine application of data to decision-making processes Staffing

    Hours Service point locations Outreach Ability to compare behavior before and after various changes Ability to explore usage data to better understand users
  19. THE WEB HAS HAD THIS FOR YEARS

  20. STAFF AS SENSORS

  21. UNDERSTANDING OUR USERS Where do our users go? What are

    they doing? When are they doing it? What could they be doing?
  22. TECHNICAL PRINCIPLES Data Integrity Performant Interfaces Reusable Tools

  23. SYSTEM OVERVIEW

  24. SYSTEM OVERVIEW

  25. SYSTEM OVERVIEW

  26. SYSTEM OVERVIEW

  27. DATA SYNCHRONIZATION

  28. CORE TECHNOLOGIES Zend PHP Framework MySql, WebSQL, Persistence.js Bootstrap &

    Handlebars jQuery, Lodash, Moment.js D3.js
  29. WHAT DOES THIS ENABLE?

  30. MULTI-DIMENSIONAL VIEWS OF DATA

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  34. INTERACTIVE DATA EXPLORATION

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  37. DATA EXPORT CSV File Chart Images

  38. STRUCTURED QUESTIONS How does evening usage compare across initiatives? Do

    the types of questions vary based on time of day? Transaction length across points in semester? Evidence of roaming reference?
  39. DEMO

  40. FUTURE WORK Comparative Analysis Proportional Analysis More Granularity (hourly) Improved

    Admin Interface
  41. EXAMPLE USES Hunt library opening metrics Special Collections outreach events

    Evaluation of roaming reference service Main sevice (reference) desk transaction analysis
  42. OPEN SOURCE 7+ active academic library pilot projects Hosted on

    GitHub Pull requests are always welcome
  43. OPEN SOURCE SUPPORT (FREE KITTENS)

  44. PROJECT TEAM Jason Casden Bret Davidson Joyce Chapman Rob Rucker

    Rusty Earl Eric McEachern
  45. THANK YOU! Jason Casden: Bret Davidson: http://go.ncsu.edu/Suma jason_casden@ncsu.edu bret_davidson@ncsu.edu