Data can deceive. Get to know your data better to avoid this
The Idea: Data-informed decision-making is very valuable, but the users must also ‘know their data’. This means that users should not just jump to drawing conclusions for data they have access to, but also know what specifically the data is measuring, and how the data was collected. Without this crucial aspect of data literacy, the user is susceptible to deception by data. Encouraging questions and conversations during the data analysis process can support the development of this ‘know your data’ aspect of data literacy.