Data Literacy Cookbook

Presents a variety of approaches to and lesson plans for teaching data literacy, from simple activities to self-paced learning modules to for-credit and discipline-specific courses. Sixty-five recipes are organised into nine sections based on learning outcomes.
Today’s students create and are confronted with many kinds of data in multiple formats. Data literacy enables students and researchers to access, interpret, critically assess, manage, handle, and ethically use data.

The Data Literacy Cookbook includes a variety of approaches to and lesson plans for teaching data literacy, from simple activities to self-paced learning modules to for-credit and discipline-specific courses. Sixty-five recipes are organized into nine sections based on learning outcomes:

1. Interpreting Polls and Surveys
2. Finding and Evaluating Data
3. Data Manipulation and Transformation
4. Data Visualization
5. Data Management and Sharing
6. Geospatial Data
7. Data in the Disciplines
8. Data Literacy Outreach and Engagement
9. Data Literacy Programs and Curricula 

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