The data literacy cookbook
著者
書誌事項
The data literacy cookbook
（The ACRL cookbook series）
Association of College and Research Libraries, 2022
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内容説明・目次
内容説明
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.
目次
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
RenE 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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