Assessment:Analytics: Difference between revisions

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

Back to the Assessment home page

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-The DLF Analytics working group has been active since 2014. Early on, the group decided their goal would be to draft a set of high level metrics to track using analytics.  The group eventually decided to scope their efforts around use of the widely - adopted Google Analytics service.  The resulting white paper, "Best Practices for Google Analytics in Digital Libraries" is now available.
+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.
-Abstract
+==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 [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:
+* 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.
-Authors
+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
+----
+[http://wiki.diglib.org/Assessment Back to the Assessment home page]
-OLD PAGE CONTENT:
-In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:
-* Referrals
-* 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:
-* 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''':
-* 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!