Buch, Englisch, 264 Seiten, Paperback, Format (B × H): 267 mm x 216 mm
Buch, Englisch, 264 Seiten, Paperback, Format (B × H): 267 mm x 216 mm
ISBN: 978-0-8389-3925-3
Verlag: American Library Association
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.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
- 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
