Data Literacy ~ Identifying Problems With Data
Identifying Problems With Data
Meta-skills include adaptability, deep thinking, and being able to critically assess problems (as opposed to simply regurgitating information), and are essential to engaging in the 21st century knowledge economy (Ridsdale, et.al., 2015).
The importance of doing diligence upfront, such as: scoping the problem correctly, gathering information, understanding the true goals of the analysis, defining what needs to get done by when, and putting this all together in a clear and concise written problem statement that gets signed off on by all stakeholders (Crowe, 2020).
Relevant Links
These links are typically articles defining data literacy that include this theme in their definition.
Databilities, Data to the People, 2020;, Chantel Ridsdale, et.al., Dalhousie University, 2015;, Annika Wolff, Daniel Gooch, Jose J. Cavero Montaner, Umar Rashid, Gerd Kortuem, 2016;, Helena Sternkopf, Roland M. Mueller, University of Hawai'i at Manoa, Proceedings of the 51st Hawaii International Conference on System Sciences, 2018;, Melissa Crowe, Tyler Technologies, 2020;