Tracking community intelligence with Trac | Zendy

Rob Baxter | Zendy; Neil Chue Hong | Zendy

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Tracking community intelligence with Trac

Author(s) -

Rob Baxter,

Neil Chue Hong

Publication year - 2011

Publication title -

philosophical transactions of the royal society a mathematical physical and engineering sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.074

H-Index - 169

eISSN - 1471-2962

pISSN - 1364-503X

DOI - 10.1098/rsta.2011.0141

Subject(s) - trac , tracking (education) , computer science , artificial intelligence , sociology , pedagogy , programming language

We report on experiences at the Software Sustainability Institute (SSI) in customizing and using the Trac system to provide a single platform for recording, managing and tracking a wide range of community interactions. We note the essential requirement of a lightweight, easy-to-use system for recording 'community metadata' and discuss the pros and cons of using Trac in this way for day-to-day operations within SSI, and more generally as a means to record and track interactions with a wide and potentially very large community.

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