Data 101: Data Literacy Toolkit

Training materials by Liz Monk
October 2, 2018

University Center for Social and Urban Research   (Pittsburgh)

October 2, 2018

Data 101 is an introductory data workshop series designed for people looking to get started on their journey toward data literacy. The Carnegie Library of Pittsburgh and the Western Pennsylvania Regional Data Center developed the set of workshops  after testing a variety of formats with different audiences and in different locations throughout the Pittsburgh region.

The goal of the Data 101 workshops is to build participants’ confidence and literacy in using data. After completing all four workshops, we expect that participants will feel prepared and confident to take a computer oriented class knowing that they are already familiar with the concepts behind the technology.

We’re now excited to share everything others will need to replicate and expand on the Data 101 workshops in our Data 101 Toolkit (in Google Drive). Each workshop has a theme and consists of a set of activities built around paper-based or low-tech activities, which workshop attendees have found to be inviting and inclusive.

Included in the Data 101 Toolkit, you will find materials for the following workshops:

What is Data – a general introduction to data concepts. Through presentation, activities and discussion we explore data types, uses, metadata, privacy, ethics and critical thinking around data

Charts – a general introduction to charting data. Through presentation, activities and discussion we explore language, design principles, clutter, basic guidelines around what chart to use when.  

Mapping – a general introduction to spatial analysis concepts.  Through presentation, activities, and discussion we explore the fundamental concepts behind Geographic Information Systems (GIS) applications.  

Finding Stories in Data  a general introduction to telling stories using data. Through presentation, activities and discussion we explore different types of stories found in data and practice applying that knowledge by working in groups to explore printed datasets.

Special thanks to Neighborhood Allies for supporting the development of Data 101, along with the supporters of the Regional Data Center and the Carnegie Library of Pittsburgh.