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Building a staff-facing tablet application for library assessment Jason Casden Joyce Chapman North Carolina State University Libraries Code4lib 2011 1
Problem statement 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 2
Our solution An open source tablet-based app (well, toolkit) to aid library staff in assessment of how patrons are using library spaces. To aid in: the gathering, storing, exporting, analyzing, and visualizing of data across spaces/activities/time and around events. 3
Why do we care? With data about use/activity patterns in different library spaces we can Improve staffing models Make informed purchasing decisions (technology, furniture) Arrange space (quiet study, collaborative) Take an evidence-based approach to planning future library spaces 4
5
Activity tracking Are some spaces more conducive to group study or individual study? What’s the ratio of usage of laptops versus public computers versus no computers? Which furniture is most popular in which areas and why? 6
7
Data analysis Fragmented data Decentralized data storage  Uncontrolled vocabularies =     High barriers to analysis and data reuse 8
Two-part project Address a current need: improve ease of data collection and reporting for our current headcount practices Expand to new areas of interest (activity counts, analysis and visualization, data importing/exporting) and share the tool Goal: to encourage an evidence-based approach to physical spaces 9
What is the system? 10
What is the system? 11
What is the system? 12
What is the system? 13
What is the data? 14
How are we starting? Headcounts Focus on improving existing practices Client-first development To make sure it will work Strict user requirements 15
Some requirements Very high interface responsiveness Accommodate uneven network access Support future expansion to activity counts Open Source release 16
Why web-based? Multi-platform support Rapid expansion of tablet market Open source release Difficulty in deploying native iPad applications Licenses, ad-hoc deployment pains, etc. Encourage community use and contributions Design doesn’t preclude multiple clients in the future 17
Why not web-based? Interface performance/responsiveness is crucial Handling uneven Wi-Fi coverage Data stability 18
How to resolve this? Browser database Asynchronous data aggregation touchstart/touchmove/touchend events 19
Browser storage SQLite Web SQL Database Google Gears Indexed Database API (Indexed DB) HTML5 Storage (localStorage) 20
Web SQL Possibly soonto be obsolete http://www.w3.org/TR/webdatabase/ 18 November 2010: “This document was on the W3C Recommendation track but specification work has stopped. The specification reached an impasse: all interested implementors have used the same SQL backend (Sqlite), but we need multiple independent implementations to proceed along a standardisation path.” Gears end of life plans announced 19 February 2010 Why? It works now WebKit support (for now) iOS, Android 21
persistence.js var Session = persistence.define('Session', {  startTime: "DATE",  collectionLength: "INT”  });  var Person = persistence.define('Person', {  timestamp: "DATE"  });  Session.hasMany('people', Person, 'session'); 22
Data synchronization 23
Design iterations 24
25
26
27
28
What are we trying to replace? CC BY-NC-ND 2.0. DipeshSoneji. http://www.flickr.com/photos/dipeshsoneji/4734289230/ 29
30
31
32
33
Future directions Open Source release: Summer 2011 Legacy data Build out analysis dashboard tools Activity counts Reference transactions Subjective/Observational space usage data Grant assessment 34
35
Project team	 Jason Casden Joyce Chapman Rob Rucker Hill Taylor 36
Thanks! Jason Casden – jason_casden@ncsu.edu Joyce Chapman – joyce_chapman@ncsu.edu https://github.com/cazzerson/SpaceUsageCensusToolkit http://www.lib.ncsu.edu/dli/projects/spaceassesstool 37

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Building an Open Source Staff-Facing Tablet App for Library Assessment

  • 1. Building a staff-facing tablet application for library assessment Jason Casden Joyce Chapman North Carolina State University Libraries Code4lib 2011 1
  • 2. Problem statement 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 2
  • 3. Our solution An open source tablet-based app (well, toolkit) to aid library staff in assessment of how patrons are using library spaces. To aid in: the gathering, storing, exporting, analyzing, and visualizing of data across spaces/activities/time and around events. 3
  • 4. Why do we care? With data about use/activity patterns in different library spaces we can Improve staffing models Make informed purchasing decisions (technology, furniture) Arrange space (quiet study, collaborative) Take an evidence-based approach to planning future library spaces 4
  • 5. 5
  • 6. Activity tracking Are some spaces more conducive to group study or individual study? What’s the ratio of usage of laptops versus public computers versus no computers? Which furniture is most popular in which areas and why? 6
  • 7. 7
  • 8. Data analysis Fragmented data Decentralized data storage Uncontrolled vocabularies = High barriers to analysis and data reuse 8
  • 9. Two-part project Address a current need: improve ease of data collection and reporting for our current headcount practices Expand to new areas of interest (activity counts, analysis and visualization, data importing/exporting) and share the tool Goal: to encourage an evidence-based approach to physical spaces 9
  • 10. What is the system? 10
  • 11. What is the system? 11
  • 12. What is the system? 12
  • 13. What is the system? 13
  • 14. What is the data? 14
  • 15. How are we starting? Headcounts Focus on improving existing practices Client-first development To make sure it will work Strict user requirements 15
  • 16. Some requirements Very high interface responsiveness Accommodate uneven network access Support future expansion to activity counts Open Source release 16
  • 17. Why web-based? Multi-platform support Rapid expansion of tablet market Open source release Difficulty in deploying native iPad applications Licenses, ad-hoc deployment pains, etc. Encourage community use and contributions Design doesn’t preclude multiple clients in the future 17
  • 18. Why not web-based? Interface performance/responsiveness is crucial Handling uneven Wi-Fi coverage Data stability 18
  • 19. How to resolve this? Browser database Asynchronous data aggregation touchstart/touchmove/touchend events 19
  • 20. Browser storage SQLite Web SQL Database Google Gears Indexed Database API (Indexed DB) HTML5 Storage (localStorage) 20
  • 21. Web SQL Possibly soonto be obsolete http://www.w3.org/TR/webdatabase/ 18 November 2010: “This document was on the W3C Recommendation track but specification work has stopped. The specification reached an impasse: all interested implementors have used the same SQL backend (Sqlite), but we need multiple independent implementations to proceed along a standardisation path.” Gears end of life plans announced 19 February 2010 Why? It works now WebKit support (for now) iOS, Android 21
  • 22. persistence.js var Session = persistence.define('Session', { startTime: "DATE", collectionLength: "INT” }); var Person = persistence.define('Person', { timestamp: "DATE" }); Session.hasMany('people', Person, 'session'); 22
  • 25. 25
  • 26. 26
  • 27. 27
  • 28. 28
  • 29. What are we trying to replace? CC BY-NC-ND 2.0. DipeshSoneji. http://www.flickr.com/photos/dipeshsoneji/4734289230/ 29
  • 30. 30
  • 31. 31
  • 32. 32
  • 33. 33
  • 34. Future directions Open Source release: Summer 2011 Legacy data Build out analysis dashboard tools Activity counts Reference transactions Subjective/Observational space usage data Grant assessment 34
  • 35. 35
  • 36. Project team Jason Casden Joyce Chapman Rob Rucker Hill Taylor 36
  • 37. Thanks! Jason Casden – jason_casden@ncsu.edu Joyce Chapman – joyce_chapman@ncsu.edu https://github.com/cazzerson/SpaceUsageCensusToolkit http://www.lib.ncsu.edu/dli/projects/spaceassesstool 37