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

@@ Line 1: / Line 1: @@
-The 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 2014.  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 set of metrics found in the widely adopted Google Analytics service, and use library-centric examples to illustrate each metric. The resulting 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.
+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.
-LINK TO THE WHITE PAPER HERE?
+==Current Projects==
+The Web Analytics Working Group is not currently active.
-== Abstract of: "Best Practices for Google Analytics in Digital Libraries" ==
+==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! :-)
-The purpose of this white paper is to provide digital libraries with guidelines that maximize the effectiveness and relevance of data collected through the Google Analytics service for assessment purposes. The document recommends tracking 14 specific metrics within Google Analytics, and provides library-centric examples of how to employ the resulting data in making decisions and setting institutional goals and priorities. The guidelines open with a literature review, and also include theoretical and structural methods for approaching analytics data gathering, examples of platform specific implementation considerations, Google Analytics set-up tips and terminology, as well as recommended resources for learning more about web analytics. The DLF Assessment Interest Group Analytics working group, which produced this white paper, looks forward to receiving feedback and additional examples of using the recommended metrics for digital library assessment activities.
+==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.
-LINK TO THE WHITE PAPER HERE?
+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
-== White Paper Authors ==
+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.
-* Molly Bragg, Duke University Libraries
+White Paper Authors:
-* Joyce Chapman, Duke University Libraries
+* 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
@@ Line 22: / Line 33: @@
-== Next Steps ==
-The DLF AIG Analytics working group will present at the DLF 2015 session: "Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report" on Monday, October 26 at 1:30pm.  The session will be recorded and available [HERE] following the conference.     There will also be an opportunity to learn more at the DLF Assessment lunch on Tuesday October 27.
-As of the publishing of the Analytics white paper, the future of the DLF Analytics working group is uncertain.   The group now looks to the digital library community for feedback, ideas, and volunteers in order to continue - we need you!  For those interested in continuing the effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) or Joyce Chapman (joyce.chapman at duke.edu) directly.
-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!
+[http://wiki.diglib.org/Assessment Back to the Assessment home page]