Editing Main Page/Crash Courses/Systems and Policies/Week eight

Jump to navigation Jump to search

Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.

The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then save the changes below to finish undoing the edit.
Latest revision Your text
Line 1: Line 1:
=== Week 8: Analytics in libraries and the push for data to demonstrate value ===
+
Analytics in libraries -- TBD
* Real time lecture: April 19th 8:30 - 10:30 Pacific/11:30 - 1:30 Eastern on Zoom https://zoom.us/j/9129428892
 
 
 
==== Overview ====
 
There's an increased push for the use of data analytics in libraries to show usage statistics, improve collections, and track all kinds of patron activities. This comes with obvious risks to privacy, which aren't always considered when making the choice to use this data. Some analytics seem to happen for the explicit purpose of surveilling users, especially students. This week, we'll be joined by LFP members Megan Kinney, Marisol Moreno Ortiz, Katie Elson Anderson, and Andrea Puglisi, who are also all currently enrolled in the Prioritizing Privacy course, which teaches academic librarians about learning analytics and their privacy and ethical issues. Megan, Marisol, Katie, and Andrea will share with us what they're learning, as well as their direct experiences with analytics use in libraries.
 
 
 
==== Readings ====
 
(You can skim these)
 
* Data collection and privacy https://americanlibrariesmagazine.org/2018/09/04/data-collection-privacy-learning-analytics/
 
* A comprehensive primer on library learning analytics practices, initiatives, and privacy issues https://crl.acrl.org/index.php/crl/article/view/24374/32199
 
* Learning analytics toolkit: privacy and ethics https://acrl.libguides.com/val/latoolkit/privacyandethics
 
* Data doubles project: datadoubles.org
 
* Data doubles toolkit: https://osf.io/8f2d3/
 
* Prioritizing Privacy: https://prioritizingprivacy.org/
 
 
 
==== Discussion ====
 
TBD
 
 
 
==== Tasks ====
 
* Lecture, readings, discussion forum
 

Please note that all contributions to Library Freedom Wiki Page may be edited, altered, or removed by other contributors. If you do not want your writing to be edited mercilessly, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource (see Library Freedom Wiki Page:Copyrights for details). Do not submit copyrighted work without permission!

To protect the wiki against automated edit spam, we kindly ask you to solve the following CAPTCHA:

Cancel Editing help (opens in new window)