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

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

      Order before 4pm tomorrow for delivery by Mon 22 Jun 2026.

      A Paperback by Kelly Getz, Meryl Brodsky

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        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

        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

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