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Related Experiment Video

Updated: Jan 5, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Data-driven space planning: using Suma to collect data.

Erin R B Eldermire1

  • 1Head, Flower-Sprecher Veterinary Library, Cornell University Library, Veterinary College, Cornell University, Ithaca, NY, erb29@cornell.edu.

Journal of the Medical Library Association : JMLA
|October 15, 2019
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Summary
This summary is machine-generated.

Library staff used Suma to assess spaces and resources, proactively identifying improvements based on user requests. This comprehensive evaluation helps prioritize enhancements for better library services and resources.

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Area of Science:

  • Library and Information Science
  • Human-Computer Interaction

Background:

  • Libraries receive numerous individual user requests for service and resource improvements.
  • Prioritizing these user-driven suggestions can be challenging for library staff.

Purpose of the Study:

  • To proactively identify areas for library improvement.
  • To systematically assess library spaces and resources.
  • To align library services with user needs and expectations.

Main Methods:

  • A comprehensive assessment of library spaces was conducted.
  • Library resources were evaluated using the Suma platform.
  • User feedback and requests were analyzed to inform the assessment.

Main Results:

  • The Suma assessment provided actionable insights into library operations.
  • Specific areas for enhancing user experience were identified.
  • Data-driven recommendations for service and resource improvements were generated.

Conclusions:

  • A systematic assessment using Suma is effective for prioritizing library improvements.
  • Proactively understanding user needs leads to more targeted and impactful enhancements.
  • Continuous evaluation ensures library services remain relevant and valuable to users.