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Data Literacy in the Real World: Conversations & Case Studies

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Data Literacy in the Real World: Conversations & Case Studies DATA LITERACY IN THE REAL WORLD: Conversations & Case Studies EDITED BY Kristin Fontichiaro Amy Lennex Tyler Hoff Kelly Hovinga Jo Angela Oehrli Each piece in this document is Copyright © 2017 by the author named in the piece. Some rights reserved. Each piece is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License. To view a copy of this license, visit http://creativecommons.org/ licenses/by-nc-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, California, 94042, USA. This project was made possible in part by the Institute of Museum and Library Services RE-00-15-0113-15, the University of Michigan School of Information, and the University of Michigan Library. Published in the United States of America by Michigan Publishing Manufactured in the United States of America DOI: 10.3998/mpub.9970368 ISBN 978-1-60785-452-4 (paper) ISBN 978-1-60785-453-1 (e-book) An imprint of Michigan Publishing, Maize Books serves the publishing needs of the University of Michigan community by making high-quality scholarship widely available in print and online. It represents a new model for authors seeking to share their work within and beyond the academy, off ering streamlined selection, production, and distribution processes. Maize Books is intended as a complement to more formal modes of publication in a wide range of disciplinary areas. http://www.maizebooks.org Contents Introduction .............................................................................................................................................................i PART I WEBINARS ...............................................................................................................................................7 A.“But it’s a number, so it has to be true!”: An introduction to data literacy, Part I .............. 9 Presented by Lynette Hoelter B. “But it’s a number, so it has to be true!”: An introduction to data literacy, Part II .......... 13 Presented by Lynette Hoelter C. Where the rubber meets the road: Data literacy in the content areas ................................17 Presented by Jennifer Colby D. Information literacy includes data literacy! .....................................................................................20 Presented by Jole Seroff E. Close reading: Unpacking the impact language has on how we understand statistics .....24 Presented by Tasha Bergson-Michelson F. Real world data fluency: How to use raw data ...............................................................................27 Presented by Wendy Steadman Stephens G. Gathering data via action research: A plan for librarians, classroom teachers, and students...........................................................................................................................30 Presented by Susan G. Ballard H. Data literacy and voting ...........................................................................................................................34 Presented by Martha Stuit I. Making sense of data visualization ........................................................................................................38 Presented by Justin Joque J. DataBasic.io: Tools & activities that help introduce newcomers to data storytelling .......41 Presented by Catherine D’Ignazio and Samantha Viotty K. Data presentation: Showcasing your data with charts and graphs .....................................44 Presented by Tierney Steelberg L. Using Social Explorer to help students gain insight .....................................................................47 Presented by Justin Joque M. Infographics: An instructional lens .....................................................................................................50 Presented by Debbie Abilock, Susan Smith, and Connie Williams N. Tools for preserving your personal and intellectual privacy ..................................................55 Presented by Wendy Steadman Stephens O. Big Data and you: Normalizing the practices of privacy ..........................................................58 Presented by Jole Seroff P. The right to obscurity vs. the digital Eye of Sauron......................................................................62 Presented by Susan G. Ballard Q. Student data privacy: Protecting the personal information that informs instruction ........................................................................................................................65 Presented by Jennifer Colby R. DataRefuge: Preserving data and growing literacy ......................................................................69 Presented by Justin Schell S. Science in the wild: How to make the most of citizen science projects at your school..........................................................................................................................72 Presented by Debbie Abilock, Susan Smith, and Connie Williams PART II CASE STUDIES .................................................................................................................................. 77 PERSONAL DATA MANAGEMENT 1. Your presence on social media ..............................................................................................................80 Reviewed by Jennifer Colby 2. Tracking student physical activity in school ....................................................................................83 Reviewed by Tyler Hoff 3. Amazon Echo Look .....................................................................................................................................86 Reviewed by Tasha Bergson-Michelson and Kristin Fontichiaro 4. Smart home devices in court .................................................................................................................89 Reviewed by Tyler Hoff 5. DNA mapping .................................................................................................................................................92 Reviewed by Tasha Bergson-Michelson 6. When insurance gives you a fitness tracker.....................................................................................95 Reviewed by Wendy Steadman Stephens 7. Hiding from digital marketing .................................................................................................................98 Reviewed by Wendy Steadman Stephens 8. ISP consumer data collection ...............................................................................................................101 Reviewed by Tyler Hoff 9. Encrypted data, privacy, and government access ......................................................................104 Reviewed by Jole Seroff 10. Protecting your rights through civic engagement ...................................................................108 Reviewed by Tasha Bergson-Michelson 11. What is a reasonable expectation of privacy? ............................................................................. 111 Reviewed by Jole Seroff 12. Intergenerational differences and data privacy: Generational shift or developmental stage? ....................................................................................................................116 Reviewed by Susan Smith 13. Comparing United States and European Union approaches to privacy ....................... 120 Reviewed by Jole Seroff 14. Be strategic! Reading and understanding terms of service and privacy policies ......124 Reviewed by Tasha Bergson-Michelson 15. What does Cambridge Analytica have about you? ..................................................................127 Reviewed by Wendy Steadman Stephens CITIZEN SCIENCE 1. Scientists and citizen scientists: Cooperation and reservations...........................................132 Reviewed by Kelly Hovinga 2. Candy Crush and Zooniverse: The psychology of citizen science ....................................135 Reviewed by Kelly Hovinga 3. Citizen science techniques to uncover insights in the humanities ....................................139 Reviewed by Connie Williams 4. Tour of the Leafsnap leaf identification app ..................................................................................142 Reviewed by Wendy Steadman Stephens 5. Habitat Network: Learning about and managing the landscape we share ....................145 Reviewed by Susan D. Ballard 6. Smithsonian Institution Transcription Center ..............................................................................148 Reviewed by Tyler Hoff 7. Where does federal data go? .................................................................................................................151 Reviewed by Connie Williams 8. Native knowledge meets scientific knowledge through citizen science ........................155 Reviewed by Connie Williams Bonus feature: Choosing a citizen science project for your classroom ...............................159 Reviewed by Susan Smith, with Connie Williams, and Debbie Abilock BIG DATA 1. Unroll.me email tracking and data sale ............................................................................................172 Reviewed by Tyler Hoff 2. Big Data and discrimination ..................................................................................................................176 Reviewed by Jo Angela Oehrli 3. Television sets collecting data without notifying consumers .................................................180 Reviewed by Jole Seroff 4. Big Data and self-driving trucks...........................................................................................................184
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