= 0">Congratulations on completing the Foundations of Citizen Science module and claiming your badge! You are now eligible to proceed to this self-guided training module and badge. Before starting this module, you’ll need to complete the prerequisite Foundations of Citizen Science training module and badge. If you have already completed the Foundations of Citizen Science training module, you may need to log in to SciStarter before proceeding. This module opens in a new tab. Return to this page to claim your badge upon completion.  Estimated completion time: 30 minutes By the end of this tutorial, you will be able to: 1. Articulate how citizen science benefits science and society. 2. Describe data literacy and how it can help you make better decisions. 3. Differentiate the types of data collected and used by scientists and citizen science participants. 4. Interpret data-rich graphs and charts. 5. Explain how data quality impacts the credibility of scientific conclusions. You will practice or acquire the following skills, which are part of the Open Skills Taxonomy: data literacy, data-driven decision-making, critical thinking and data analysis. Complete this self-guided tutorial and quiz to claim your badge.  = 0">  Congratulations! It's time to claim your badge. Building Data Literacy Through Community and Citizen Science Your digital badge is built using Open Badges, a type of badge that is verifiable, portable, shareable, and embedded with information about the skills and achievements you've demonstrated. You will receive an email from our badging partner, Badgr, with instructions for claiming your free badge and discovering related badge and training pathways. You'll find your badge on your SciStarter profile, too! Please review the FAQ section of our citizen science brochure to learn more about this program, including how to share your award to networks like Facebook, X, LinkedIn, and more. (Optional) Please complete this survey. (Optional) In this training, you’ll learn about the All of Us Research Program which seeks to enroll one million or more participants from across the U.S. to help speed up medical research. Here is an optional, supplemental training featuring All of Us and related resources.
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