Editing Data Into Insights (Spring 2021) (section)

== Week 4: The ethics of data stories (Part I) ==


February 9

'''Assignment Due:'''
* Turn in your [[Self Assessment Reflection]] on Brightspace
* [[/Purdue WP Case|Case Study]] (Be prepared to talk about this case, based on the readings and the class so far)
* No Discussion Questions (but feel free to have discussions on Discord!)

'''Readings:''' 
* Salganik, M. (2017). [https://www.bitbybitbook.com/en/ethics/ethics-intro/ Chapter 6: Ethics] from ''Bit by Bit''.
* Kassner, M. [https://www.techrepublic.com/article/5-ethics-principles-big-data-analysts-must-follow/ 5 ethics principles big data analysts must follow]
* McNulty, K. (2018). [https://drkeithmcnulty.com/2018/07/22/beware-of-storytelling-in-data-and-analytics/ Beware of 'storytelling' in data and analytics]
* (Optional) Steinmann, M., Matei, S. A., & Collmann, J. (2016). A Theoretical Framework for Ethical Reflection in Big Data Research. (On Brightspace)


'''Class Schedule:'''
* Ethical frameworks
* What are ethical data stories?
* When do analysts need to make ethical decisions?
* Transparency, respect, beneficence, honesty