Curious how we picked the books for Of Mycenaean Men? In this article, we explain the development of that open educational resource (OER) and how we found the books for it. We hope learning about our process helps folks who like popular science and nonfiction find more archaeological data literacy related works for themselves.
tutorial
Going from Notes to Data
Welcome to the Digital Data Stories of the Alexandria Archive Institute and Open Context! In this Data Story Short, you’ll build your own data set, in a spreadsheet, using notes from archaeological recording forms. This will turn these organized notes into structured tabular data. Structured data are data that can be filtered and/or easily read […]
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.
