What is data literacy?
Data literacy is broken down into three main areas; first, it is the area of knowledge to interpret, to read, and to categorize numerical and non-numerical information. Second, it is the ability of a person to identify, to differentiate and to analyze all the variables that affect the sample size study as well as the source of information, third, it is the mental process to transfer and to collect written information into a visual graphic that can be easily readable by others. Data must show a genuine significance of the study, and it cannot be misleading to the viewers.
What are the skills and knowledge needed to develop data literacy?
A person that is data literate first must have organization skills to arrange data into their proper category. Second, they need to have a special eye for detail to identify the key ideas and lastly to have a mind that allows extracting the most relevant facts out of data. The goal is to transform the data into a well cohesive information.
How do we identify and evaluate data sources?
Data sources can be assessed if we know how to evaluate and analyze the validity of information by double checking sources and to make valid comparisons to known resources. Being data literate means that all the areas of digital literacy must be in sync to fulfill the requirements of data knowledge.