Assessment:Analytics: Difference between revisions

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The DLF Analytics Subcommittee  is working to draft out how best to capture analytics about how digital library content is accessed.
The Analytics Working Group first formed in the Fall of 2014, and in 2016, renamed itself to the Web Analytics Working Group to reflect the group's focus on web-based analytics tools, best practices and information sharing. In 2015 the group published a white paper on the use of Google Analytics in Digital Libraries, and in 2016-2017 they developed a broad annotated bibliography of case studies.


In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:
==Current Projects==
* Referrals
The Web Analytics Working Group is not currently active.
* Search terms
* Number of users
* Number of accesses
* Number of downloads


We also began to define a set of '''content types''', as those may impact the capture of analytics.  Examples include:
==Get Involved!==
* Institutional repositories
* Licensed resources
* Digitized unique content
* Datasets
* Finding aids
* Websites


And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':
If you are interested in helping us develop best practices and guidelines for measuring benefits of digital libraries, please join our [https://groups.google.com/forum/#!forum/digital-library-assessment Digital Library Assessment Google Group] and speak up! :-)
* Administrators
* Content selectors
* Metadata providers
* System administrators


If you're interested in helping this subcommittee move forward, please join the [[https://groups.google.com/forum/#!forum/digital-library-analytics Digital Library Analytics Google Group]] and speak up!
==Past Projects==
Throughout 2016 and 2017 the Web Analytics group created the [https://osf.io/c3246/ Web Analytics Annotated Resource List].  Gathered from a large variety of resource types (blogs, articles, presentations and more), the bibliography is intended to provide relevant resources on how libraries use web analytics to assess their programs, collaborate with other institutions, make decisions, and more.
 
Principal Authors:
* Molly Bragg (Coordinator of the Web Analytics Working Group), Duke University Libraries
* Nik Dragovic, Emory University
* Rita Johnston, University of North Carolina at Charlotte
* Ranti Junus, Michigan State University
* Eric Stedfeld, New York University
 
 
In December 2014, the Analytics working group set out to draft recommendations for using web analytics for assessment in digital libraries, resulting in the [https://osf.io/ct8bs/ Best Practices for Google Analytics in Digital Libraries] white paper.
 
White Paper Authors:
 
* Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries
* Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries
* Jody DeRidder, University of Alabama Libraries
* Rita Johnston, University of North Carolina at Charlotte
* Ranti Junus, Michigan State University
* Martha Kyrillidou, Association of Research Libraries
* Eric Stedfeld, New York University
 
 
 
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[http://wiki.diglib.org/Assessment Back to the Assessment home page]

Latest revision as of 13:04, 9 February 2018

The Analytics Working Group first formed in the Fall of 2014, and in 2016, renamed itself to the Web Analytics Working Group to reflect the group's focus on web-based analytics tools, best practices and information sharing. In 2015 the group published a white paper on the use of Google Analytics in Digital Libraries, and in 2016-2017 they developed a broad annotated bibliography of case studies.

Current Projects

The Web Analytics Working Group is not currently active.

Get Involved!

If you are interested in helping us develop best practices and guidelines for measuring benefits of digital libraries, please join our Digital Library Assessment Google Group and speak up! :-)

Past Projects

Throughout 2016 and 2017 the Web Analytics group created the Web Analytics Annotated Resource List. Gathered from a large variety of resource types (blogs, articles, presentations and more), the bibliography is intended to provide relevant resources on how libraries use web analytics to assess their programs, collaborate with other institutions, make decisions, and more.

Principal Authors:

  • Molly Bragg (Coordinator of the Web Analytics Working Group), Duke University Libraries
  • Nik Dragovic, Emory University
  • Rita Johnston, University of North Carolina at Charlotte
  • Ranti Junus, Michigan State University
  • Eric Stedfeld, New York University


In December 2014, the Analytics working group set out to draft recommendations for using web analytics for assessment in digital libraries, resulting in the Best Practices for Google Analytics in Digital Libraries white paper.

White Paper Authors:

  • Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries
  • Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries
  • Jody DeRidder, University of Alabama Libraries
  • Rita Johnston, University of North Carolina at Charlotte
  • Ranti Junus, Michigan State University
  • Martha Kyrillidou, Association of Research Libraries
  • Eric Stedfeld, New York University


Back to the Assessment home page

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