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Related Experiment Video

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Trajectory Data Analyses for Pedestrian Space-time Activity Study

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Tracking community intelligence with Trac.

Rob Baxter¹, Neil Chue Hong

¹Software Sustainability Institute, EPCC, University of Edinburgh, Edinburgh EH9 3JZ, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|July 20, 2011

Summary

The Software Sustainability Institute (SSI) customized the Trac system for managing community interactions. This lightweight platform effectively records community metadata, aiding daily operations and tracking broad community engagement.

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Area of Science:

Computer Science
Information Management
Community Engagement

Background:

Effective management of community interactions is crucial for research software sustainability.
Existing systems may not adequately capture 'community metadata' for diverse engagement tracking.
The Software Sustainability Institute (SSI) sought a unified platform for interaction management.

Purpose of the Study:

To evaluate the customization and utility of the Trac system at SSI.
To assess Trac's suitability as a single platform for recording and managing community interactions.
To explore the benefits and drawbacks of using Trac for community metadata and engagement tracking.

Main Methods:

Customization of the Trac system for specific SSI operational needs.
Implementation of Trac for daily recording and management of community interactions.
Analysis of Trac's performance in tracking a wide range of community engagements.

Main Results:

Trac was successfully customized to serve as a central platform for community interaction data.
The system proved effective for recording essential 'community metadata'.
The study identified specific advantages and disadvantages of using Trac for SSI's operational needs and broader community tracking.

Conclusions:

The Trac system offers a viable, lightweight solution for managing community interactions and metadata.
Careful customization is key to leveraging Trac for effective community engagement tracking.
The findings provide insights for other organizations seeking similar community management solutions.