KnE Teaching Excellence in Engineering
[Laurie Hastir's materials]
Library and Scholarly Usage Data Conversation
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Development of a Usage Data Decision Framework
This wiki was created following the NISO Usage Data Forum, 1-2 November 2007, in Dallas, TX primarily to provide a place for folks who care about library and scholarly usage data to work together to develop a decision framework to help those organizations trying to figure out how to approach usage data.
Usage Data Decision Framework - This is the working draft that we can all continue to tweak
Contributing Frameworks - existing frameworks that might have something to offer (e.g., data evolution continuum, Technology 7 framework, 7 Deadly Sins of Performance Measurement and 4 Elements of Successful Strateges, Gartner Decision Support Framework)
Framework Discussion - thoughts and ideas about how to go about this or responses to people's suggestions or additions
Caryn Anderson's NISO Nov 2007 conference presentation
Understanding the Data Around Us: Gathering and Analyzing Usage Data - D-Lib Nov/Dec 2007 review
Other Usage Data Conversations
While this wiki was primarily to help develop a Usage Data Decision Framework, it would be great to have other conversations about usage data as well. I've created a few pages (below). Please feel free to add a new page about any relevant topic.
General Discussion
Data Collection
Data Transfer and Manipulation
Data Incomparability
Data Integration - with ERMs, DSS (decision support), cost per use issues, etc.
Data Analysis and Presentation - includes full list of how data is used from all the presentations once they are available, analysis tools, how to communicate to administration, etc.
Usage Contexts - Ethnographic studies of users, purpose of uses (MINES)
User Behavior - how usage data supports discovery of information seeking behavior, scholarly behavior (MESUR)
Standards - COUNTER, SUSHI, discussion about what constitutes a use and whether we should be measuring at the item-level or part level and what to do about measuring non-text resources, etc.
Services - Scholarly Stats, repositories, etc.
Custom Usage Data Solutions - e.g. UPenn solutions
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Comments (1)
Anonymous said
at 1:10 pm on Nov 3, 2007
You can comment on this page by clicking on the comments button at the top. - Caryn
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