Data Literacy

This is a self-paced tutorial for students on how to read a chart. It includes an interactive quiz.

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.

The 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.

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.

This 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.

These 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.

DataCamp 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.

Quantitative applications in the social sciences, a Sage university papers series, also known as the Little Green Books, cover how to use specific statistical methods.