Description

Book Synopsis
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.

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

    The Data Literacy Cookbook

    Product form

    £66.00

    Includes FREE delivery

    RRP £88.00 – you save £22.00 (25%)

    Order before 4pm today for delivery by Wed 21 Jan 2026.

    A Paperback by Kelly Getz, Meryl Brodsky

    1 in stock


      View other formats and editions of The Data Literacy Cookbook by Kelly Getz

      Publisher: MP-ALA American Library Assoc
      Publication Date: 12/5/2022 12:00:00 AM
      ISBN13: 9780838939253, 978-0838939253
      ISBN10: 0838939252
      Also in:
      Computer science Data science and analysis

      Description

      Book Synopsis
      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.

      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

        Recently viewed products

        © 2026 Book Curl

          • American Express
          • Apple Pay
          • Diners Club
          • Discover
          • Google Pay
          • Maestro
          • Mastercard
          • PayPal
          • Shop Pay
          • Union Pay
          • Visa

          Login

          Forgot your password?

          Don't have an account yet?
          Create account