Welcome to another Sourcing Series segment presented by the Data Literacy Program (DLP) of the Alexandria Archive Institute. In this article, we introduce a couple of subscription-based sources for (re)usable images. This is a follow-up to our introduction to online sources for reusable images.
Open Educational Resources
Of Mycenaean Men: The Public Archaeology Book Club
This exercise is best suited to those with an interest in defining data, understanding archaeological data, or discussing the impacts of archaeological data on modern society. Users should have some familiarity with group discussion or book clubs, but previous experience with data or archaeology is not required.
The Spring 2025 Reference Guide
We’re happy to announce the Data Literacy Program’s (DLP’s) Spring 2025 Reference Guide. Formerly known as the Table of Contents, this Version 3.0 of that document provides short introductions for all our Digital Data Stories.
Tome Reader: The AAI Reads Comics Book Club
This exercise is best suited to those with an interest in reading archaeology-related comics, exploring how to use visuals in archaeology, or discussing the impacts of archaeological data on current comic books. Users should have some familiarity with group discussion or book clubs, but previous experience with data, archaeology, or comics is not required.
To Disrupt and Delight: Teaching Archaeology Through Narrative
This exercise is best suited to those with an interest in teaching with narrative, archaeological data literacy, and critically engaging with published articles. Users should have some familiarity with academic language and an interest in teaching and learning, but previous experience with data literacy and archaeology is not required.
Pubs, no drinks included – Publications that cultivate data literacy
For this Digital Data Stories (DDS) Series on Series entry, we’re exploring our Publication Series where we use the format of the publication to highlight important aspects of data literacy. We do this because reading and writing language are foundational to data literacy. That’s because they help us understand “what aspects of the world” (Bhargava […]
