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DEVELOPING THE METRICS TO ASSESS

This presentation discusses the development of a customized observation data collection system using ArcGIS Server and a mobile interface. The system allows for centralized map and data sharing, as well as data aggregation and reporting. It addresses the challenges of assessing the usage of a new library building with active learning spaces.

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DEVELOPING THE METRICS TO ASSESS

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  1. DEVELOPING THE METRICS TO ASSESS THE LIBRARY’S ACTIVE LEARNING SPACES Lac2018 Karen R. Hum, PhDDirector of Assessment Ningning Kong, PhDAssociate Professor, GIS Specialist Yue LiGeographic Information Systems (GIS) Analyst Nanette Andersson, M.ARCH, AIA, NCARB, LEED AP, FMPDirector of Libraries Facilities

  2. THE PROBLEM • Usage assessment requested of new building (WALC) opened August 2017 • 179,000 sq. ft. facility with library spaces and 27 active learning classrooms on 3 floors plus lower level • Library spaces include collection stacks with 30,000 volumes, study rooms, collaborative spaces, quiet study areas, computer stations, specialty computer labs, and faculty offices • Open 24/7 • Total unique users: • Fall 2017 term: 38,153(33,182 students; 4,971 non-students) • Spring 2018 term: 35,190(30,856 students; 4,334 non-students) • Usage assessment included need for observation data to be collected 6 times per day x 5 days x 2 terms • Concerns regarding use of paper/pencil methods due to building size and number of users to be observed • Evaluated existing GIS and facility inventory tools, but determined a more customized solution was needed

  3. THE SOLUTION ArcGIS Server Daily Report Relational Geodatabase Secured Mobile Interface • Libraries’ Director of Assessment, Director of Facilities, and GIS faculty collaborated on development of an in-house observation data collection system • Includes four major components: • Mobile interface for data collection • GIS server for centralized map and data sharing • Geodatabase with maps and tables • Reporting engine for data aggregation and reporting • Mobile interface developed using JavaScript and ArcGIS API, supported by the map services published from ArcGIS Server • For map interface, building floor plans were scanned and georeferenced • Reporting feature uses the SQL Server Reporting Service from the database server to aggregate collected information and generate reports to the departmental server Data collection system components.

  4. THE MOBILE DATA COLLECTION INTERFACE

  5. DEVELOPMENT PROCESS AND SYSTEM LIMITATIONS • Development process: • Collaboration team met regularly to determine “wish list,” map out needs/preferences, review progress, and recommend revisions • Final product was beta tested using real-world data collection scenario • User feedback was evaluated, issues were addressed, and improvements were implemented • System limitations: • Highly dependent on Wi-Fi connection and stable server environment

  6. NEXT STEPS • Expand system to include all Purdue Libraries locations • Will require changes to the mobile data collection interface to accommodate floorplans for different buildings and to allow the user to choose a specific library • Later developments could include making the system available as a library resource and extending its use to non-library locations • https://maps-dev.lib.purdue.edu/walc/

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