This video provides tips for teachers on helping students make sense of data to help them understand and work with data. It is based on the work of Kristin Hunter-Thomson of Dataspire.org and uses data from the My NASA Data Earth System Data Explorer.

The Earth System Satellite Images, along with the Data Literacy Cubes, helps the learner identify patterns in a specific image.  

This Lesson Plan provides some generic maps, graphs, and data tables for use with the Data Literacy Cube. Because this is a differentiated resource, it is appropriate for multiple grade bands.

This Lesson Plan provides maps, graphs, and data tables for use with the Data Literacy Cubes. Because it is a differentiated resource, it is appropriate for multiple grade bands. 

This lesson plan provides some generic maps, graphs, and data tables for use with the Data Literacy Cube. Because it is a differentiated resource, this lesson plan is appropriate for multiple grade bands. 

This video addresses the following question: "We know that there are a number of ways that data can be visualized. Would you please describe your process for looking at the same data as represented by different graph types and how this helps inform your meaning making from the data?"

This video addresses the following question: "We know that science is very much an iterative process. Can you describe for us your process for developing your follow-up questions after you have interpreted a set of data?"

This video addresses the following question: "As you think about exploring the data that you have collected, what are the approaches that you use to organize your data and/or process your data before you make meaning from the data?"

This video addresses the following question: "As you look at a data set(s) that has been collected, could you help us understand how you use data visualizations to shape new questions to explore further in the data set(s)?"

This video addresses the following question: "As you think about how you use data visualization(s) to communicate your findings with others, can you describe how you refine the visualization(s) that you present to better support the story that you are sharing with the data visualization?"