The data literacy cookbook / edited by Kelly Getz and Meryl Brodsky.

Format:

Book

Contributor:

Getz, Kelly, editor.

Brodsky, Meryl, editor.

Series:

ACRL Cookbook series.

ACRL Cookbook series

Language:

English

Subjects (All):

Information literacy--Study and teaching.

Information literacy.

Physical Description:

1 online resource (viii, 256 pages) : illustrations.

Edition:

First edition.

Place of Publication:

Chicago, IL : Association of College & Research Libraries, a division of the American Library Association, 2022.

Summary:

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.

Contents:

Intro

Table of Contents

Introduction

Section 1. Interpreting Polls and Surveys

CH1. Survey Literacy

CH2. Setting the Scene with Surveys

CH3. The Mini-Study

Section 2. Finding and Evaluating Data

CH4. Three Step Data Searching

CH5. Transforming Research Questions into Variables

CH6. Sweeten the Search

CH7. The Most Vital Statistics

CH8. Understanding the Enumerated World

CH9. Looking at Data

CH10. Interrogating the Data

CH11. Data Zines

CH12. On the Hunt

CH13. Using Statistics to Define the Problem

CH14. Data and Statistics in the News and Media

Section 3. Data Manipulation and Transformation

ch15. A Kinesthetic Approach to Data

ch16. Text Mining Charcuterie Board

ch17. Anyone Can Cook…R!

ch18. Software Carpentry Al Dente

ch19. A Recipe for Improving Online Instruction for the Carpentries

Section 4. Data Visualization

CH20. Correlation Does Not Equal Causality

CH21. Pies, Bars, Charts, and Graphs, Oh My!

CH22. Data Visualizations

CH23. Seasonal Visual Literacy

CH24. To Visualize Is to Experience Data

CH25. Upping the Baseline for Data Literacy Instruction

CH26. A Literacy-Based Approach to Learning Visualization

CH27. Build Your Own Data Viz Pizza

CH28. Veggie Pizza

CH29. Four-Cheese Pizza

CH30. Data Visualization using Web Apps in a Rainbow Layer Cake

CH31. Graphical Abstracts

Section 5. Data Management and Sharing

CH32. Making File Names for Digital Exhibits

CH33. Data Management Failures

CH34. Low-Fat Research Data Management

CH35. Managing Qualitative Social Science Data

CH36. Seven Weeks Seven DMPs

CH37. Equitable from the Beginning

Section 6. Geospatial Data

CH38. Challenge Accepted

CH39. GIS for Success Series

CH40. GIS for Success Series.

CH41. Statistical and Geospatial Literacy for Integrative Genetics

CH42. Web Map Layer Cake

Section 7. Data in the Disciplines

CH43. Data in Context

CH44. Let the Dough Rise!

CH45. Ethics and Biodiversity Data

CH46. Data Decisions and the Research Process

CH47. Financial Data for Economic Students

CH48. Stuffed Shiny App with Business Intelligence

CH49. Fast Casual Marketing Strategies

CH50. When and Where

CH51. Data Literacy Layered Lasagna

Section 8. Data Literacy Outreach and Engagement

CH52. Data Visualization Day

CH53. Getting Messy Ourselves

CH54. Research Data Management Stone Soup

CH55. Data Literacy Family Style

CH56. Everyone is Welcome at the Table

CH57. Seasoning and Simmering

CH58. From Soup to Nuts

CH59. Teaching Data Literacy and Computational Thinking

Section 9. Data Literacy Programs and Curricula

CH60. Cooking up a Data Literacy Course

CH61. Baking a Data Layer Cake

CH62. Building a Data Literacy through Scaffolded Workshops

CH63. Data Literacy Appetizers

CH64. Data as Curation

CH65. Quantitative Data Skills for Undergraduates.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Getz, Kelly The Data Literacy Cookbook

ISBN:

9780838939260

0838939260

OCLC:

1347028682