User stats

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Summary of Objective

This session was a discussion of the sources and uses of statistics and analytics for library systems.

Sample Library Systems

  1. Institutional Repository
  2. Digital Archives
  3. Research Data
  4. Campus Faculty Profile
  5. Research Networking
  6. Learning Management
  7. Content Management

List of Statistics Layers

  1. Network layer
    • AWStats
    • Webalizer
  2. Application layer
    • Lucene/Solr (as per DSpace or Fedora)
  3. "Cloud layer" (so to speak)
    • Google Analytics
    • Pardot
    • Omniture
    • Webtrends


  1. User accessible statistics
  2. Easily navigable
  3. Comprehensive
  4. Single Source

General Summary

We'd talked about the various layers of access to statistics and analytics (network, application, "cloud") and how each layer seemed to give part of the full analytics picture but that no solution was currently able to offer a wide scope of statistics while being easily accessed or navigated by an end-user.


After talking in-depth about statistics an analytics, our discussion turned toward something akin to "leveraging small scale open systems" for "data repositories" (using the term data repositories loosely). The discussion brought to light some potentially significant advantages of embedding repository content (especially digital archives) in "open" (not necessarily open source) systems where users are already popularly and actively engaged. An example of this was the high visibility of some of Georgia College's photographs from their home in Flickr.