What is Data Literacy?
Well, Wikipedia defines Data Literacy as, “the ability to read, understand, create, and communicate data as information.” Just as literacy means being able to derive meaning and information from words, data literacy means being able to derive meaning and information from data. Throughout the 2010’s data literacy (some say data savvy), has been seen by more and more people as a required skill for the coming years.

Reading is being able to look at a graph or chart and see what information its creator wants to convey as well as how well that person actually conveyed the information. It means knowing how to read a research article and pull out the relevant data from the abstract, methods, and/or discussion sections. Understanding is knowing enough about statistics to evaluate the data gathering techniques as well as the methodologies chosen to present the data. Creating data means knowing enough about data gathering techniques to produce quality data, knowing enough about analytics to create meaningful correlations, and knowing enough about data management to be able to store and locate the data in the future.

Of course you don’t need to be an expert in any of these – but understanding the basics can open opportunities in your current or future jobs. After all, this is the era of Big Data!

Karen Kunz

Some places to get started
Data Literacy Webinar Series
From Ben Jones, founder of dataliteracy.com. The first one of the series is, "17 Key Traits of Data Literacy".

Qlik Free Data Literacy Courses
"Our free courses are designed to help people and organizations understand, analyze and use data with confidence"

Data Practices Courseware
Supported by The Linux Foundation it is a bunch of content collected from experts and practitioners. The focus seems to be mostly business.
Library Books
The Oregon Tech library has many helpful eBooks that can be found at Safari Online Books

In addition, there are several print books that you can check out.

Reading Research
RT81.5 .R433 2015 Understanding research of Evidence-Based Practice
RT42 .E95 2019 Evidence-Based Practice in Nursing & Healthcare
R852 .D385 2018 Reading Research

Data Science
QA76.9 .B45 N5x 2017 Numsense! Data Science for the Layman: no math Added
T58.5 .P54 2017 Data Science For Dummies
QA76.9 .D343 G7526 2017 Think Like a Data Scientist
QA76.73 .P98 G78 2015 Data Science from Scratch: First Principles with Python
R858 Data Science for Healthcare: Methodologies and Applications

17 Key Traits of Data Literacy

This hour long webinar from Ben Jones of dataliteracy.com gives very good explanations of what data literacy is and what you should strive to learn in order to become data literate. It's very good -- check it out!

According to Ben Jones, the data literate person knows:
  1. Basic Elements of Data (8:25)
  2. Data Storage Methods (13:25)
  3. Data Analysis Principles (16:20)
  4. Data Visualization Rules of Thumb (19:35)
  5. How to Read Visual Displays of Data (31:05)
  6. How to Prepare Data for Analysis (33:30)
  7. How to Explore Data (39:00)
  8. How to Create Clear Visuals (41:40)
  9. How to Communicate Data Effectively (43:00)
  10. That Data Literacy is Inclusive (46:05)
  11. They are Confident in Using Data as a Resource (47.23)
  12. To be Alert to Common Pitfalls (48.25)
  13. To use Data Ethically (52.40)
  14. How to Utilize Data Resourcefully (55.50)
  15. To Continuously Improve Data (56:05)
  16. To Effectively Advocate for Data (56:45)
  17. To Enthusiastically Spread Data Literacy (57:15)
Created 4/25/2019