Video Tutorials
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How to Read a ChartThis is a self-paced tutorial for students on how to read a chart. It includes an interactive quiz.
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What is Data? What is Data Literacy?This video explores various data types, identifies the difference between data and statistical analysis and defines the concept of data literacy. An interactive quiz is included.
Teaching Tools
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Creating Data Literate StudentsThe Supporting Librarians in Adding Data Literacy Skills to Information Literacy Instruction project is a two-year project which ran from October 2015 through September 2017. Its aim was to develop data and statistical literacy skills in high school librarians to better support critical comprehension skills in their students. Here you'll find archived webinars, a blog, and contact information for the project investigators.
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How to Cite Data and Statistics (U of M)Data requires citations for the same reasons journal articles and other types of publications require citations: to acknowledge the original author/producer and to help other researchers find the resource.
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Scholarly Communication Toolkit: Research Data ManagementThis Research Guide by ACRL discusses research data management, and why academic libraries should engage with it. The Resources section is especially useful and includes sections on Data Literacy as well as information from the Building Your Research Data Management Toolkit: Integrating RDM (Research Data Management) into Your Liaison Work workshop.
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Data-Driven Learning Guides from ICPSRThese guides can be used to enhance teaching of core concepts in the social sciences. In order to be useful to the widest audience, the focal topics are drawn from concepts that are included in standard introductory-level social science textbooks. New guides will continually be added and topic areas expanded. An Instructors Guide to DDLGs is also available.
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DataCampDataCamp is an online learning platform offering tutorials and courses in data science. DataCamp has free beginner courses and also offers the option to pay a subscription fee for premium courses. Students can either pay $25 per month or $250 per year for access. In addition to tutorials, there are also coding challenges. DataCamp focuses on programming R and Python, used for Big Data and data visualization.
Books
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The Basics of Data Literacy
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Call Number: Q181 .B7216 2014; 3rd LevelPublication Date: 2014This book is for teachers with no statistical background. It shows how to teach students to collect, summarize, and analyze statistics. The book's chapters provide an introduction to types of variables and data, ways to structure and interpret data tables, simple statistics, and survey basics. The appendices include hands-on activities tailored to middle and high school students. -
Critical Library Pedagogy Handbook
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Call Number: ZA3075 .C75 2016, v.1-v.2; 3rd LevelPublication Date: 2016See chapter: Thinking through visualizations: critical data literacy using remittances / Erin Pappas, Celia Emmelhainz, and Maura Seale
See chapter: Teaching with data: visualization and information as a critical process / Andrew Battista and Jill Conte -
Data Information Literacy : Librarians, Data, and the Education of a New Generation of Researchers
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Publication Date: 2015The intent of the publication is to help librarians cultivate strategies and approaches for developing data information literacy programs of their own using the work done in the multiyear, IMLS-supported Data Information Literacy (DIL) project as real-world case studies.
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Databrarianship
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Call Number: Z675.U5 D34 2016; 3rd LevelPublication Date: 2016Published by the Association of College and Research Libraries (ACRL), this edited volume addresses the fast-growing niche for librarians who support researchers and manage, preserve, advocate, teach, and provide access to research data. -
Damned Lies and Statistics
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Publication Date: 2012This is the updated edition to Joel Best's classic guide to understanding how numbers can confuse us. In his new afterword, Best uses examples from recent policy debates to reflect on the challenges to improving statistical literacy. This handbook will help you spot bad statistics and learn to think critically about numbers. -
The New Information Literacy Instruction
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Call Number: ZA3075 .N493 2016; 3rd LevelPublication Date: 2015See chapter: Diving into data: developing data fluency for librarians / Scott Martin and Jo Angela Oehrli -
Teaching Information Literacy Skills to Social Sciences Students and Practitioners
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Call Number: ZA3075 .T43 2006; ARC StoragePublication Date: 2006See case on:
Introducing undergraduates to data literacy : how to find, use, and evaluate numeric data / Jen-chien Yu and Aaron K. Shrimplin -
Creating Data Literate Students
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Call Number: 9781607854241ISBN: 9781607854241Publication Date: 2017-08-24Creating Data Literate Students provides high school librarians and educators with foundational domain knowledge to teach a new subset of information literacy skills -- data and statistical literacy, including: statistics and data comprehension; data as argument; and data visualization. -
The Data Literacy Cookbook
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ISBN: 9780838939253Publication Date: 2022-12-05The 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. -
Data Literacy for Educators
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Call Number: LB1028.43 .M3619 2016, 3rd LevelPublication Date: 2016Data literacy has become an essential skill set for teachers as education becomes more of an evidence-based profession.
Data Analysis
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Quantitative applications in the social sciences, a Sage university papers seriesQuantitative applications in the social sciences, a Sage university papers series, also known as the Little Green Books, cover how to use specific statistical methods.