Assessment:Analytics: Difference between revisions

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The DLF Assessment Interest Group (DLF AIG) analytics working group first formed in the Fall of 2014 following the successful launch of the larger DLF AIG and the DLF fall forum.    In 2016, the group 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 they developed a broad annotated bibliography of case studies to supplement the white paper (links to both resources below).  
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==
==Current Projects==
The Web Analytics Working Group is not currently active.


Throughout 2016 the Web Analytics group assembled an annotated bibliography of resources for digital library staff and managers.  Gathered from a large variety of resource types (blogs, articles, presentations and more), the bibliography is intended to provide case studies of how digital libraries use web analytics to assess their programs, collaborate with other institutions, make decisions, and more.  As of Fall 2016, the resource is an [https://docs.google.com/document/d/1myLG8GoNmgxjvvISRNKTIuLI1EQSVh_jVcYwNSoWFC8/edit?usp=sharing evolving Google doc that includes citations, annotations, and recommendations].
==Get Involved!==


'''All are welcome to contribute to the [https://docs.google.com/document/d/1myLG8GoNmgxjvvISRNKTIuLI1EQSVh_jVcYwNSoWFC8/edit?usp=sharing annotated bibliography!]'''
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! :-)
 
==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:
Principal Authors:
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* Nik Dragovic, Emory University
* Nik Dragovic, Emory University
* Rita Johnston, University of North Carolina at Charlotte
* Rita Johnston, University of North Carolina at Charlotte
* Ranti Junus, Michigan State University
* Eric Stedfeld, New York University


==Get Involved!==
Anyone with any experience using or considering using web analytics tools in digital libraries is invited to contribute to the [https://docs.google.com/document/d/1myLG8GoNmgxjvvISRNKTIuLI1EQSVh_jVcYwNSoWFC8/edit?usp=sharing annotated bibliography]. 
The group is meeting in early 2017 to determine this year's projects. Some possible goals include, but aren't limited to:
* Continuing development of the annotated bibliography
* Facilitating webinars
* Fostering a community of practice around web analytics
* Collaboration with other AIG working groups on a range of projects
Please share your questions, ideas and conversation with the [https://groups.google.com/forum/#!forum/digital-library-analytics DLF AIG Web Analytics Google Group] or contact Rita Johnston directly (rjohn211 at uncc.edu).
==Past Projects==
In December 2014, the DLF AIG analytics working group set out to draft recommendations for using web analytics for assessment in digital libraries.  The group eventually decided to scope their efforts around a subset of the metrics in the widely adopted Google Analytics service.  Library-centric examples were also gathered to support each recommended metric. The resulting 2015 white paper, "Best Practices for Google Analytics in Digital Libraries" is now available.  The white paper is intended for digital library managers, and curators who want to use analytics to understand more about users of, access to, and use of digital library materials.


'''Access to the [https://osf.io/ct8bs/ white paper is available via the Open Science Framework].'''
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:
White Paper Authors:

Latest revision as of 12:04, 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



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