Assessment:Analytics: Difference between revisions
Created page with "The DLF Analytics Subcommittee is working to draft out how best to capture analytics about how digital library content is accessed. In December 2014, we began to draft a set..." |
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The DLF Analytics Subcommittee is working to draft out how best to capture analytics about how digital library content is accessed. | The DLF Analytics Subcommittee is working to draft out how best to capture analytics about how digital library content is accessed. | ||
In December 2014, we began to draft a set of high-level types of data we want to capture with analytics, such as: | In December 2014, we began to draft a set of '''high-level types of data''' we want to capture with analytics, such as: | ||
* Referrals | * Referrals | ||
* Search terms | * Search terms | ||
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* Number of downloads | * Number of downloads | ||
We also began to define a set of content types, as those may impact the capture of analytics. Examples include: | We also began to define a set of '''content types''', as those may impact the capture of analytics. Examples include: | ||
* Institutional repositories | * Institutional repositories | ||
* Licensed resources | * Licensed resources | ||
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* Websites | * Websites | ||
And we also realized that different audiences may need different information gathered. Here's our first draft of potential audiences: | And we also realized that different audiences may need different information gathered. Here's our first draft of '''potential audiences''': | ||
* Administrators | * Administrators | ||
* Content selectors | * Content selectors | ||
Revision as of 14:14, 17 December 2014
The DLF Analytics Subcommittee is working to draft out how best to capture analytics about how digital library content is accessed.
In December 2014, we began to draft a set of high-level types of data we want to capture with analytics, such as:
- Referrals
- Search terms
- Number of users
- Number of accesses
- Number of downloads
We also began to define a set of content types, as those may impact the capture of analytics. Examples include:
- Institutional repositories
- Licensed resources
- Digitized unique content
- Datasets
- Finding aids
- Websites
And we also realized that different audiences may need different information gathered. Here's our first draft of potential audiences:
- Administrators
- Content selectors
- Metadata providers
- System administrators
If you're interested in helping this subcommittee move forward, please join the [Digital Library Analytics Google Group] and speak up!