Think about how to split data literacy

  • data-literacy
  • idea
  • spring

The definitions:

  1. Understanding Data: Data literacy requires an understanding of what data is, what types of data exist, and how data is generated. A data literate individual must also have knowledge of the role and impact of data in society across different contexts and the ethical implications of using data.
  2. Finding Data: Data literacy requires the skills necessary to ask questions that can be researched using data, find relevant data sources, compare and evaluate sources, and check for bias and inaccuracy. 
  3. Collecting Data: Data literacy encompasses the ability to collect both qualitative and quantitative data, including methods such as conducting interviews, creating surveys, making observations, and taking measurements. 
  4. Interpreting Data: Data literacy requires the ability to prepare data for analysis, critically analyze data in a range of formats, and develop inferences. 
  5. Visualising Data: Data literacy includes the ability to communicate data using a range of visual representation methods such as tables, graphs, and maps. 
  6. Supporting Arguments Using Data: Data literacy includes the ability to use data as evidence to support arguments and tell stories, taking into consideration the larger cultural, social, and political implications of data-derived insights. Ultimately, data literate individuals should be able to use data to solve problems and communicate their solutions.