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A Framework to Integrate Public, Dynamic Metrics Into an OER Platform

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Author(s)
Cohen, Jaclyn Zetta
Omollo, Kathleen Ludewig
Malicke, Dave
Contributor(s)
Office of Enabling Technologies, Medical School Information Services
Ann Arbor
Keywords
Metrics
Data
Content Management Systems
APIs
Analytics
User Research

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URI
http://hdl.handle.net/20.500.12424/754376
Online Access
http://hdl.handle.net/2027.42/106587
Abstract
The full article is also available at http://openpraxis.org/index.php/OpenPraxis/article/view/118.
The usage metrics for open educational resources (OER) are often either hidden behind an authentication system or shared intermittently in static, aggregated format at the repository level. This paper discusses the first year of University of Michigan???s project to share its OER usage data dynamically, publicly, to synthesize it across different levels within the repository hierarchies, and to aggregate in a method inclusive of content hosted on third-party platforms. The authors analyze their user research with a target audience of faculty authors, multimedia specialists, librarians, and communications specialists. Next, they explore a stratified technical design that allows the dynamic sharing of metrics down to the level of individual resources. The authors conclude that this framework enables sustainable feedback to OER creators, helps to build positive relationships with creators of OER, and allows the institution to move toward sharing OER on a larger scale.
Date
2014-05-07
Type
Article
Identifier
oai:deepblue.lib.umich.edu:2027.42/106587
Open Praxis, vol. 6 issue 2, April???June 2014, pp. 189???197 (ISSN 2304-070X) 2014 OCWC Global Conference Selected Papers. Available at http://openpraxis.org/index.php/OpenPraxis/article/view/118. <http://hdl.handle.net/2027.42/106587>
http://hdl.handle.net/2027.42/106587
Open Praxis
Copyright/License
http://creativecommons.org/licenses/by/3.0/us/
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