The Data Literacy Cookbook
Home > Reference > Library and information sciences / Museology > The Data Literacy Cookbook
The Data Literacy Cookbook

The Data Literacy Cookbook


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

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: Interpreting Polls and Surveys Finding and Evaluating Data Data Manipulation and Transformation Data Visualization Data Management and Sharing Geospatial Data Data in the Disciplines Data Literacy Outreach and Engagement Data Literacy Programs and Curricula  Many sections have overlapping learning outcomes, so you can combine recipes from multiple sections to whip up a scaffolded curriculum. The Data Literacy Cookbook provides librarians with lesson plans, strategies, and activities to help guide students as both consumers and producers in the data life cycle.

Table of Contents:
Introduction Section 1. Interpreting Polls and Surveys Chapter 1. Survey Literacy: A Skills-Based Approach to Teaching Survey Research Jesse Klein Chapter 2. Setting the Scene with Surveys: Using Polling Software to Demonstrate Primary and Secondary Data Wendy G. Pothier Chapter 3. The Mini-study: A Three-Part Assignment for Original Data Creation, Summation, and Visualization William Cuthbertson, Lyda Fontes McCartin, and Sara O’Donnell Section 2. Finding and Evaluating Data Chapter 4. Three-Step Data Searching Annelise Sklar Chapter 5. Transforming Research Questions into Variables: A Recipe for Finding Secondary Data Alicia Kubas and Jenny McBurney Chapter 6. Sweeten the Search: Discover Data for Reuse with a Tool That Links Publications to the Underlying Data Elizabeth Moss Chapter 7. The Most Vital Statistics: Finding and Analyzing Historical Mortality Rates Alisa Beth Rod and Jennie Correia Chapter 8. Understanding the Enumerated World: Making Sense of Data as an Information Source Alexandra Cooper, Elizabeth Hill, and Kristi Thompson Chapter 9. Looking at Data Kay K. Bjornen Chapter 10. Interrogating the Data: What Data Sets Can and Cannot Tell Us Kristin Fontichiaro Chapter 11. Data Zines: A Hands-On Approach to Community Curiosities Tess Wilson Chapter 12. On the Hunt: Understanding and Analyzing GSS Data Extraction for Incorporation within Sociological Research Projects Amy Dye-Reeves Chapter 13. Using Statistics to Define the Problem: Data and Service Learning Amy Harris Houk and Jenny Dale Chapter 14. Data and Statistics in the News and Media Kaetlyn Phillips Section 3. Data Manipulation and Transformation Chapter 15. A Kinesthetic Approach to Data: Moving to Understand Nominal, Ordinal, Interval, and Ratio Relationship in Data Wendy Stephens Chapter 16. Text Mining Charcuterie Board Yun Dai and Fan Luo Chapter 17. Anyone Can Cook (R)! Open Data with R, a Five-Week Mini-mester Jay Forrest and Ameet Doshi Chapter 18. Software Carpentry Al Dente: Rendering Tech Training for Online Artisans Peace Ossom-Williamson, Shiloh Williams, and Hammad Rauf Khan Chapter 19. A Recipe for Improving Online Instruction for the Carpentries Kay K. Bjornen and Clarke Iakovakis Section 4. Data Visualization Chapter 20. Correlation Does Not Equal Causality: Introducing Data Literacy through Infographics and Statistics in the Media Nick Ruhs Chapter 21. Pies, Bars, Charts, and Graphs, Oh My! A Data Visualization Appetizer Haley L. Lott Chapter 22. Data Visualizations: The Good, the Bad, and the Ugly Kaetlyn Phillips Chapter 23. Seasonal Visual Literacy: Using Current Events to Teach Data and Spatial Literacy Skills with Adaptable LibGuides Jacqueline Fleming and Theresa Quill Chapter 24. To Visualize Is to Experience Data Chapter elsea H. Barrett and Gerard Shea Chapter 25. Upping the Baseline for Data Literacy Instruction Jessica Vanderhoff Chapter 26. A Literacy-Based Approach to Learning Visualization with R’s ggplot2 Package Angela M. Zoss Chapter 27. Build Your Own Data Viz Pizza: A Modular Approach to Data Visualization Instruction Rachel Starry Chapter 28. Veggie Pizza: Choosing a Data Visualization Tool Rachel Starry Chapter 29. Four-Cheese Pizza: Color and Accessible Design Rachel Starry Chapter 30. Data Visualization using Web Apps in a Rainbow Layer Cake Yun Dai and Fan Luo Chapter 31. Graphical Abstracts: Creating Appetizing Infographics for Your Research Article Aleshia Huber Section 5. Data Management and Sharing Chapter 32. Making File Names for Digital Exhibits Kate Thornhill and Gabriele Hayden Chapter 33. Data Management Failures: Teaching the Importance of DMPs through Cautionary Examples Richard M. Mikulski Chapter 34. Low-Fat Research Data Management Elizabeth Blackwood Chapter 35. Managing Qualitative Social Science Data: An Open, Self-Guided Course Sebastian Karcher and Diana Kapiszewski Chapter 36. Seven Weeks, Seven DMPs: Iterative Learning around Data Management Plan Creation Emma Slayton and Hannah C. Gunderman Chapter 37. Equitable from the Beginning: Incorporating Critical Data Perspectives into Your Research Design Jodi Coalter, David Durden, and Leigh Amadi Dunewood Section 6. Geospatial Data Chapter 38. Challenge Accepted: Introducing Geospatial Data Literacy through an Online Learning Path Joshua Sadvari and Katie Phillips Chapter 39. GIS for Success Series: Learning the Basics of QGIS Workshop Kelly Grove Chapter 40. GIS for Success Series: Let’s Make a Map in QGIS Workshop Kelly Grove Chapter 41. Statistical and Geospatial Literacy for Integrative Genetics Jay Forrest and Chrissy Spencer Chapter 42. Web Map Layer Cake: Teaching Web Mapping Skills with Leaflet for R Sarah Zhang and Julie Jones Section 7. Data in the Disciplines Chapter 43. Data in Context: How Data Fit into the Scholarly Conversation Theresa Burress Chapter 44. Let the Dough Rise! Integrating Library Instruction in a Digital Humanities Course RenÉ Duplain and Chantal Ripp Chapter 45. Ethics and Biodiversity Data Rebecca Hill Renirie Chapter 46. Data Decisions and the Research Process in the Sciences and Social Sciences Nicole Helregel Chapter 47. Financial Data for Economics Students Jennifer Yao Weinraub Chapter 48. Stuffed Shiny App with Business Intelligence Yun Dai and Fan Luo Chapter 49. Fast Casual Marketing Strategies Juliann Couture, Halley Todd, and Natalia Tingle Dolan Chapter 50. When and Where: A Framework for Finding and Evaluating Social Science Data for Reuse Ari Gofman Chapter 51. Data Literacy Layered Lasagna for Preservice Teachers Brad Dennis and Allison Hart-Young Section 8. Data Literacy Outreach and Engagement Chapter 52. Data Visualization Day: Promoting Data Literacy with Campus Partners Wenli Gao Chapter 53. Getting Messy Ourselves: An Experiential Learning Curriculum for Subject Librarians to Engage with Data Literacy Adrienne Canino Chapter 54. Research Data Management Stone Soup: Gauging Team Competencies Michelle Armstrong, Megan Davis, Ellie Dworak, Yitzhak “Yitzy” Paul, and Elisabeth Shook Chapter 55. Data Literacy Family Style: Full-Day Professional Development Molly Ledermann, Emilia Marcyk, Terence O’Neill, and Dianna E. Sachs Chapter 56. Everyone Is Welcome at the Table: Outreach for Data Management and Data Literacy in Research Assignment Design Shannon Sheridan and Hilary Baribeau Chapter 57. Seasoning and Simmering: Cultivating Data Literacy Skills through an Open Data Hackathon Peace Ossom-Williamson Chapter 58. From Soup to Nuts: Finding Your Way around the Data Services Buffet Jane Fry and Chantal Ripp Chapter 59. Teaching Data Literacy and Computational Thinking in Educational Technology Lesley S. J. Farmer Section 9. Data Literacy Programs and Curricula Chapter 60. Cooking Up a Data Literacy Course Claire Nickerson Chapter 61. Baking a Data Layer Cake: Scaffolding Data Skills through Video Vignettes Shannon Sheridan Chapter 62. Building Data Literacy through Scaffolded Workshops: Experiences and Challenges Jiebei Luo and Yaqing (Allison) Xu Chapter 63. Data Literacy Appetizers: LibGuide Data Instruction Modules for Undergraduates Beth Hillemann and Aaron Albertson Chapter 64. Data as Curation: Framing Data Creation as a Critical Practice through Collections-Based Research Inquiry Gesina A. Phillips, Tyrica Terry Kapral, Matthew J. Lavin, and Aaron Brenner Chapter 65. Quantitative Data Skills for Undergraduates: A Seminar Series for Social Science Students Whitney Kramer and Amelia Kallaher

About the Author :
Kelly Getz is an Associate Professor and S.T.E.M. Librarian at Eastern Michigan University. She holds a BA in Chemistry from Michigan State University, and both a Master of Science of Information and a Master of Science in Bioinformatics from the University of Michigan. Prior to becoming an academic librarian in 2013, she was a high school chemistry and environmental science teacher. Her teaching philosophy, in brief, is: do things to foster curiosity and no things to harm it. Kelly's research interests include information and data literacy in secondary and post-secondary education, inclusive design in libraries, and many other sciencey rabbit holes. Outside of the library, she dedicates her life, love, time, and everything to Juni, Lionel, and Boyd; together with whom she will always make (and eat) the messiest cookies. Meryl Brodsky is the liaison librarian for the School of Information and the Moody College of Communication at the University of Texas - Austin. She has a Master of Library Science from Southern Connecticut State University and an MBA from Cornell University. Her research interests include data literacy, data management, and data curation. She has spent half her career working as a corporate librarian and half as an academic librarian. It was her work in the corporate sector that sparked her interest in data literacy. She witnessed her co-workers doing terrible things to data and returned to the academic sector to become involved in data literacy education.


Best Sellers


Product Details
  • ISBN-13: 9780838939253
  • Publisher: Association of College & Research Libraries
  • Publisher Imprint: Association of College & Research Libraries
  • Height: 216 mm
  • No of Pages: 264
  • Spine Width: 14 mm
  • Width: 267 mm
  • ISBN-10: 0838939252
  • Publisher Date: 05 Dec 2022
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 272 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
The Data Literacy Cookbook
Association of College & Research Libraries -
The Data Literacy Cookbook
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

The Data Literacy Cookbook

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!