Important: Sign up for facilitation here by January 15
Complete readings and post your response by Friday January 19. Post a peer comment by Sunday January 21.
Submit an extended ‘comment’ on this blog post below with the following:
- Write one takeaway point from the readings. (This could be a few brief sentences, reflecting on any of the following questions: Why is this significant? How might I apply some of these ideas to my own research and life? You can write the takeaway point from a summation of the readings, have the readings in conversation with one another, or focus on just one reading.)
- Write one clarification question to the class. What did not make sense or did you want to understand more?
- Write one discussion question to the class. When writing a discussion question, think about how the question might open up a multi-directional conversation about the topic.
Readings
- Posner, Miriam. “Humanities Data: A Necessary Contradiction“
- Rawson, Katie and Munoz, Trevor. “Against Cleaning“
- Groskopf, Christopher. “The Quartz Guide to Bad Data.” Quartz.
- Wickham, Hadley . “Tidy Data” Journal of Statistical Software [Online], Volume 59, Issue 10 (12 September 2014)
- Sanders, Ashley, Chapter 3 of Visualizing History’s Fragments “Humanistic Data – Classifying Individuals & Visualizing Silences” Link to Preprint File here
- Explore Library of Missing Datasets (2016) art installation by Mimi Onuoha
Preparation for Class 3
- Download OpenRefine. Once you’ve done that, double-click on the application to be sure it opens. If you’re on a Mac and you get a warning that says “MacOS cannot verify the developer of OpenRefine.app,” please see these instructions.
- Optional: Bring your own “dataset.” It can be in any form (spreadsheet, PDF, image), we’ll designate some time to work through how to transform the source into data.
*If you have any issues with the download, don’t worry, we will have a few back up machines with the software and we can also do group pairing to troubleshoot. It’s wonderful if you could get it downloaded to your local machine so that you could use it on your own data in the future, but if you can’t get to it before Week 3, don’t worry about it.
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