https://wiki.diglib.org/api.php?action=feedcontributions&feedformat=atom&user=Mbragg 2026-04-16T20:21:26Z User contributions MediaWiki 1.44.0 https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=7832 2016-10-24T21:42:05Z

<p>Mbragg: </p> <hr /> <div>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). <br /> <br /> ==Current Projects==<br /> <br /> 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]. <br /> <br /> '''All are welcome to contribute to the [https://docs.google.com/document/d/1myLG8GoNmgxjvvISRNKTIuLI1EQSVh_jVcYwNSoWFC8/edit?usp=sharing annotated bibliography!]'''<br /> <br /> Principle Authors:<br /> <br /> * Molly Bragg (Coordinator of the Web Analytics Working Group), Duke University Libraries<br /> * Nik Dragovic, Emory University<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> <br /> ==Get Involved!==<br /> <br /> 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]. <br /> <br /> The Web Analytics group will also be meeting at the DLF Fall Forum 2016 during a lunchtime session on Monday Nov. 7. Come and share your ideas about next steps for the group. Not coming to DLF? No problem! 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 Molly Bragg directly (molly.bragg at duke.edu).<br /> <br /> ==Past Projects==<br /> <br /> 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''Access to the [https://osf.io/ct8bs/ white paper is available via the Open Science Framework].''' <br /> <br /> White Paper Authors:<br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> <br /> ----<br /> <br /> [http://wiki.diglib.org/Assessment Back to the Assessment home page]</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=7831 2016-10-24T21:40:49Z

<p>Mbragg: /* Get Involved! */</p> <hr /> <div>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. <br /> <br /> ==Current Projects==<br /> <br /> 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]. <br /> <br /> '''All are welcome to contribute to the [https://docs.google.com/document/d/1myLG8GoNmgxjvvISRNKTIuLI1EQSVh_jVcYwNSoWFC8/edit?usp=sharing annotated bibliography!]'''<br /> <br /> Principle Authors:<br /> <br /> * Molly Bragg (Coordinator of the Web Analytics Working Group), Duke University Libraries<br /> * Nik Dragovic, Emory University<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> <br /> ==Get Involved!==<br /> <br /> 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]. <br /> <br /> The Web Analytics group will also be meeting at the DLF Fall Forum 2016 during a lunchtime session on Monday Nov. 7. Come and share your ideas about next steps for the group. Not coming to DLF? No problem! 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 Molly Bragg directly (molly.bragg at duke.edu).<br /> <br /> ==Past Projects==<br /> <br /> 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''Access to the [https://osf.io/ct8bs/ white paper is available via the Open Science Framework].''' <br /> <br /> White Paper Authors:<br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> <br /> ----<br /> <br /> [http://wiki.diglib.org/Assessment Back to the Assessment home page]</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=7830 2016-10-24T21:40:27Z

<p>Mbragg: /* Get Involved! */</p> <hr /> <div>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. <br /> <br /> ==Current Projects==<br /> <br /> 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]. <br /> <br /> '''All are welcome to contribute to the [https://docs.google.com/document/d/1myLG8GoNmgxjvvISRNKTIuLI1EQSVh_jVcYwNSoWFC8/edit?usp=sharing annotated bibliography!]'''<br /> <br /> Principle Authors:<br /> <br /> * Molly Bragg (Coordinator of the Web Analytics Working Group), Duke University Libraries<br /> * Nik Dragovic, Emory University<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> <br /> ==Get Involved!==<br /> <br /> Anyone with any experience using or considering 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]. <br /> <br /> The Web Analytics group will also be meeting at the DLF Fall Forum 2016 during a lunchtime session on Monday Nov. 7. Come and share your ideas about next steps for the group. Not coming to DLF? No problem! 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 Molly Bragg directly (molly.bragg at duke.edu).<br /> <br /> ==Past Projects==<br /> <br /> 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''Access to the [https://osf.io/ct8bs/ white paper is available via the Open Science Framework].''' <br /> <br /> White Paper Authors:<br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> <br /> ----<br /> <br /> [http://wiki.diglib.org/Assessment Back to the Assessment home page]</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=7829 2016-10-24T21:39:44Z

<p>Mbragg: </p> <hr /> <div>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. <br /> <br /> ==Current Projects==<br /> <br /> 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]. <br /> <br /> '''All are welcome to contribute to the [https://docs.google.com/document/d/1myLG8GoNmgxjvvISRNKTIuLI1EQSVh_jVcYwNSoWFC8/edit?usp=sharing annotated bibliography!]'''<br /> <br /> Principle Authors:<br /> <br /> * Molly Bragg (Coordinator of the Web Analytics Working Group), Duke University Libraries<br /> * Nik Dragovic, Emory University<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> <br /> ==Get Involved!==<br /> <br /> Anyone with any experience in 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]. <br /> <br /> The Web Analytics group will also be meeting at the DLF Fall Forum 2016 during a lunchtime session on Monday Nov. 7. Come and share your ideas about next steps for the group. Not coming to DLF? No problem! 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 Molly Bragg directly (molly.bragg at duke.edu). <br /> <br /> ==Past Projects==<br /> <br /> 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''Access to the [https://osf.io/ct8bs/ white paper is available via the Open Science Framework].''' <br /> <br /> White Paper Authors:<br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> <br /> ----<br /> <br /> [http://wiki.diglib.org/Assessment Back to the Assessment home page]</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=7828 2016-10-24T21:37:58Z

<p>Mbragg: /* Current Projects */</p> <hr /> <div>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. <br /> <br /> ==Current Projects==<br /> <br /> 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]. [https://docs.google.com/document/d/1myLG8GoNmgxjvvISRNKTIuLI1EQSVh_jVcYwNSoWFC8/edit?usp=sharing] <br /> <br /> All are welcome to contribute to the evolving annotated bibliography!!<br /> <br /> Principle Authors:<br /> <br /> * Molly Bragg (Coordinator of the Web Analytics Working Group), Duke University Libraries<br /> * Nik Dragovic, Emory University<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> <br /> ==Get Involved!==<br /> <br /> Anyone with any experience in 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]. <br /> <br /> The Web Analytics group will also be meeting at the DLF Fall Forum 2016 during a lunchtime session on Monday Nov. 7. Come and share your ideas about next steps for the group. Not coming to DLF? No problem! 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 Molly Bragg directly (molly.bragg at duke.edu). <br /> <br /> ==Past Projects==<br /> <br /> 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''Access to the [https://osf.io/ct8bs/ white paper is available via the Open Science Framework].''' <br /> <br /> White Paper Authors:<br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> <br /> ----<br /> <br /> [http://wiki.diglib.org/Assessment Back to the Assessment home page]</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=7827 2016-10-24T21:37:05Z

<p>Mbragg: </p> <hr /> <div>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. <br /> <br /> ==Current Projects==<br /> <br /> 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 evolving Google doc that includes citations, annotations, and recommendations: [https://docs.google.com/document/d/1myLG8GoNmgxjvvISRNKTIuLI1EQSVh_jVcYwNSoWFC8/edit?usp=sharing] <br /> <br /> All are welcome to contribute to the evolving annotated bibliography!!<br /> <br /> Principle Authors:<br /> <br /> * Molly Bragg (Coordinator of the Web Analytics Working Group), Duke University Libraries<br /> * Nik Dragovic, Emory University<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> <br /> ==Get Involved!==<br /> <br /> Anyone with any experience in 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]. <br /> <br /> The Web Analytics group will also be meeting at the DLF Fall Forum 2016 during a lunchtime session on Monday Nov. 7. Come and share your ideas about next steps for the group. Not coming to DLF? No problem! 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 Molly Bragg directly (molly.bragg at duke.edu). <br /> <br /> ==Past Projects==<br /> <br /> 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''Access to the [https://osf.io/ct8bs/ white paper is available via the Open Science Framework].''' <br /> <br /> White Paper Authors:<br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> <br /> ----<br /> <br /> [http://wiki.diglib.org/Assessment Back to the Assessment home page]</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=207 2015-09-30T14:47:36Z

<p>Mbragg: </p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''Access to the [https://docs.google.com/document/d/1QmiLJEZXGAY-s7BG_nyF6EUAqcyH0mhQ7j2VPpLpxCQ/edit?usp=sharing white paper is available via Google docs here], and will be posted on Figshare following DLF 2015.''' <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; on Monday, October 26 at 1:30pm Pacific Time. The session will be [http://www.diglib.org/forums/2015forum/livestream-schedule available via livestreaming] during the conference. There will also be an opportunity to learn more about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion through the [https://groups.google.com/forum/#!forum/digital-library-assessment DLF AIG Google Group] or in person at DLF. <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly.</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=206 2015-09-30T14:47:11Z

<p>Mbragg: </p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> Access to the [https://docs.google.com/document/d/1QmiLJEZXGAY-s7BG_nyF6EUAqcyH0mhQ7j2VPpLpxCQ/edit?usp=sharing white paper is available via Google docs here], and will be posted on Figshare following DLF 2015. <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; on Monday, October 26 at 1:30pm Pacific Time. The session will be [http://www.diglib.org/forums/2015forum/livestream-schedule available via livestreaming] during the conference. There will also be an opportunity to learn more about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion through the [https://groups.google.com/forum/#!forum/digital-library-assessment DLF AIG Google Group] or in person at DLF. <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly.</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=205 2015-09-30T14:43:14Z

<p>Mbragg: </p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''LINK TO THE WHITE PAPER HERE''' <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; on Monday, October 26 at 1:30pm Pacific Time. The session will be [http://www.diglib.org/forums/2015forum/livestream-schedule available via livestreaming] during the conference. There will also be an opportunity to learn more about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion through the [https://groups.google.com/forum/#!forum/digital-library-assessment DLF AIG Google Group] or in person at DLF. <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly.</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=204 2015-09-29T22:30:45Z

<p>Mbragg: /* Next Steps */</p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''LINK TO THE WHITE PAPER HERE''' <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; on Monday, October 26 at 1:30pm. The session will be [http://www.diglib.org/forums/2015forum/livestream-schedule recorded and available for streaming] following the conference. There will also be an opportunity to learn more about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion through the [https://groups.google.com/forum/#!forum/digital-library-assessment DLF AIG Google Group] or in person at DLF. <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly.</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=203 2015-09-29T22:29:31Z

<p>Mbragg: /* Next Steps */</p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''LINK TO THE WHITE PAPER HERE''' <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; on Monday, October 26 at 1:30pm. The session will be [http://www.diglib.org/forums/2015forum/livestream-schedule recorded and available for streaming] following the conference. There will also be an opportunity to learn more about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion through the [DLF AIG Google Group https://groups.google.com/forum/#!forum/digital-library-assessment] or in person at DLF. <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly.</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=202 2015-09-29T22:27:10Z

<p>Mbragg: /* Next Steps */</p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''LINK TO THE WHITE PAPER HERE''' <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; on Monday, October 26 at 1:30pm. The session will be [recorded and available for streaming http://www.diglib.org/forums/2015forum/livestream-schedule] following the conference. There will also be an opportunity to learn more about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion through the DLF AIG Google Group [https://groups.google.com/forum/#!forum/digital-library-assessment] or in person at DLF. <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly.</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=201 2015-09-29T20:48:13Z

<p>Mbragg: /* Next Steps */</p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''LINK TO THE WHITE PAPER HERE''' <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; on Monday, October 26 at 1:30pm. The session will be recorded and available [POST LINK HERE!] following the conference. There will also be an opportunity to learn more about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion through the DLF AIG Google Group [https://groups.google.com/forum/#!forum/digital-library-assessment] or in person at DLF. <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly.</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=200 2015-09-29T20:46:28Z

<p>Mbragg: /* Next Steps */</p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''LINK TO THE WHITE PAPER HERE''' <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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 about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion through the [DLF AIG Google Group]https://groups.google.com/forum/#!forum/digital-library-assessment or in person at DLF. <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly.</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=199 2015-09-29T13:42:21Z

<p>Mbragg: </p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> '''LINK TO THE WHITE PAPER HERE''' <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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 about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion! <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly.</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=198 2015-09-29T13:42:03Z

<p>Mbragg: </p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> LINK TO THE WHITE PAPER HERE? <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Joyce Chapman (Co-coordinator of the Analytics Working Group), Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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 about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion! <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly.</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=197 2015-09-29T13:01:04Z

<p>Mbragg: </p> <hr /> <div>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 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 white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> LINK TO THE WHITE PAPER HERE? <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> LINK TO THE WHITE PAPER HERE?<br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg, Duke University Libraries<br /> * Joyce Chapman, Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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 about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion! <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly. <br /> <br /> <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=196 2015-09-29T13:00:00Z

<p>Mbragg: </p> <hr /> <div>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 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 collected by the widely adopted Google Analytics service. Library-centric examples were also gathered to support each recommended metric. The resulting white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> LINK TO THE WHITE PAPER HERE? <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> LINK TO THE WHITE PAPER HERE?<br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg, Duke University Libraries<br /> * Joyce Chapman, Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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 about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion! <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly. <br /> <br /> <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=195 2015-09-29T12:53:13Z

<p>Mbragg: </p> <hr /> <div>The DLF AIG analytics working group first formed in the Fall of 2014 following the successful launch of the larger DLF Assessment Interest Group (DLF AIG) and the DLF fall forum. 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 collected by the widely adopted Google Analytics service. Library-centric examples were also gathered to support each recommended metric. The resulting white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> LINK TO THE WHITE PAPER HERE? <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> LINK TO THE WHITE PAPER HERE?<br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg, Duke University Libraries<br /> * Joyce Chapman, Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF Forum 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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 about and discuss the group's work at the DLF Assessment lunch on Tuesday October 27. <br /> <br /> As of the publishing of the white paper, the future of the DLF analytics working group is uncertain. The group is looking to the digital library community for feedback, ideas, and volunteers in order to continue: should the analytics work continue? Are there other assessment efforts DLF AIG should prioritize? Please contribute to the discussion! <br /> <br /> For those interested in continuing the analytics effort, attend the DLF sessions listed above, post to the DLF AIG Google Group or contact Molly Bragg (molly.bragg at duke.edu) and Joyce Chapman (joyce.chapman at duke.edu) directly. <br /> <br /> <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=194 2015-09-29T02:07:45Z

<p>Mbragg: </p> <hr /> <div>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, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> LINK TO THE WHITE PAPER HERE? <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> LINK TO THE WHITE PAPER HERE?<br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg, Duke University Libraries<br /> * Joyce Chapman, Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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. <br /> <br /> 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. <br /> <br /> <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=193 2015-09-29T01:51:56Z

<p>Mbragg: </p> <hr /> <div>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, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> LINK TO THE WHITE PAPER HERE? <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> LINK TO THE WHITE PAPER HERE?<br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg, Duke University Libraries<br /> * Joyce Chapman, Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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. <br /> <br /> 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. <br /> <br /> <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=192 2015-09-29T01:47:23Z

<p>Mbragg: </p> <hr /> <div>The DLF Analytics working group has been active since 2014. In December 2014, the group set out to draft a set of high level metrics to track using analytics. The group eventually decided to scope their efforts around the widely adopted Google Analytics service, and use library-centric examples to illustrate each metric. The resulting white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg, Duke University Libraries<br /> * Joyce Chapman, Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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. <br /> <br /> 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. <br /> <br /> <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=191 2015-09-29T01:46:56Z

<p>Mbragg: </p> <hr /> <div>The DLF Analytics working group has been active since 2014. In December 2014, the group decided to draft a set of high level metrics to track using analytics. The group eventually decided to scope their efforts around the widely adopted Google Analytics service, and use library-centric examples to illustrate each metric. The resulting white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; 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. <br /> <br /> <br /> == Abstract of: &quot;Best Practices for Google Analytics in Digital Libraries&quot; ==<br /> <br /> <br /> 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. <br /> <br /> <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg, Duke University Libraries<br /> * Joyce Chapman, Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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. <br /> <br /> 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. <br /> <br /> <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=190 2015-09-29T01:04:24Z

<p>Mbragg: </p> <hr /> <div>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 the widely - adopted Google Analytics service. The resulting white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; is now available. <br /> <br /> the audience of this paper is blah blah blah<br /> <br /> <br /> == Abstract to: &quot;Best Practices for Google Analytics in Digital Libraries ==<br /> <br /> <br /> 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. <br /> <br /> <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg, Duke University Libraries<br /> * Joyce Chapman, Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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. <br /> <br /> As of the publishing of the Analytics white paper, the future of the DLF Analytics working group is uncertain. The group looks to the digital library community for feedback, ideas, and volunteers in order to continue. 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. <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=189 2015-09-29T01:01:41Z

<p>Mbragg: </p> <hr /> <div>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 the widely - adopted Google Analytics service. The resulting white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; is now available. <br /> <br /> <br /> == Abstract to: &quot;Best Practices for Google Analytics in Digital Libraries ==<br /> <br /> <br /> 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. <br /> <br /> <br /> <br /> == White Paper Authors ==<br /> <br /> <br /> * Molly Bragg, Duke University Libraries<br /> * Joyce Chapman, Duke University Libraries<br /> * Jody DeRidder, University of Alabama Libraries<br /> * Rita Johnston, University of North Carolina at Charlotte<br /> * Ranti Junus, Michigan State University<br /> * Martha Kyrillidou, Association of Research Libraries<br /> * Eric Stedfeld, New York University<br /> <br /> <br /> == Next Steps ==<br /> <br /> <br /> The DLF AIG Analytics working group will present at the DLF 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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. <br /> <br /> As of the publishing of the Analytics white paper, the future of the DLF Analytics working group is uncertain. The group looks to the digital library community for feedback, ideas, and volunteers in order to continue. 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. <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=188 2015-09-29T00:58:05Z

<p>Mbragg: </p> <hr /> <div>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 the widely - adopted Google Analytics service. The resulting white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; is now available. <br /> <br /> '''Abstract to: &quot;Best Practices for Google Analytics in Digital Libraries&quot;'''<br /> <br /> 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. <br /> <br /> <br /> '''White Paper Authors Authors'''<br /> <br /> Molly Bragg, Duke University Libraries<br /> Joyce Chapman, Duke University Libraries<br /> Jody DeRidder, University of Alabama Libraries<br /> Rita Johnston, University of North Carolina at Charlotte<br /> Ranti Junus, Michigan State University<br /> Martha Kyrillidou, Association of Research Libraries<br /> Eric Stedfeld, New York University<br /> <br /> <br /> '''Next Steps'''<br /> <br /> The DLF AIG Analytics working group will present at the DLF 2015 session: &quot;Collaborative Efforts to Develop Best Practices in Assessment: A Progress Report&quot; 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. <br /> <br /> As of the publishing of the Analytics white paper, the future of the DLF Analytics working group is uncertain. The group looks to the digital library community for feedback, ideas, and volunteers in order to continue. 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. <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=187 2015-09-29T00:14:40Z

<p>Mbragg: </p> <hr /> <div>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 the widely - adopted Google Analytics service. The resulting white paper, &quot;Best Practices for Google Analytics in Digital Libraries&quot; is now available. <br /> <br /> Abstract<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> Authors<br /> <br /> <br /> <br /> <br /> Next Steps<br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=186 2015-09-29T00:13:04Z

<p>Mbragg: </p> <hr /> <div>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, &quot;Best Practices for Google Analytics in Digital Libraries&quot; is now available. <br /> <br /> Abstract<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> Authors<br /> <br /> <br /> <br /> <br /> Next Steps<br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg https://wiki.diglib.org/index.php?title=Assessment:Analytics&diff=185 2015-09-29T00:12:41Z

<p>Mbragg: </p> <hr /> <div>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, &quot;Best Practices for Google Analytics in Digital Libraries&quot; is now available. <br /> <br /> Abstract<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> Authors<br /> <br /> <br /> <br /> <br /> <br /> <br /> OLD PAGE CONTENT: <br /> <br /> In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as:<br /> * Referrals<br /> * Search terms<br /> * Number of users<br /> * Number of accesses<br /> * Number of downloads<br /> <br /> We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include:<br /> * Institutional repositories<br /> * Licensed resources<br /> * Digitized unique content<br /> * Datasets<br /> * Finding aids<br /> * Websites<br /> <br /> And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''':<br /> * Administrators<br /> * Content selectors<br /> * Metadata providers<br /> * System administrators<br /> <br /> 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!</div>

Mbragg