As part of a research study associated with the NSF-funded FAIROS Ethical Open Science forPast Global Change Research Coordination Network, we are conducting interviews with dataresource users and repository managers to understand use of community-curated dataresources, needs and visions for interoperability of these resources, and data ethics related toFAIR and CARE principles. The findings from […]
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Archaeological Data Literacy and Comics
Paulina F. Przystupa, a member of The Alexandria Archive Institute (AAI) team recently talked about the overlap between archaeological data literacy and comic books. Specifically, the talk focused on how Paulina brought a love of comics to the Data Literacy Program (DLP).
Defining a data story
If you keep up with our news here at The Alexandria Archive Institute (AAI) you may have noticed that we talk about archaeology…a lot. But we also talk about teaching and literacy. And stories. And also sometimes data. And, recently, we’ve been talking a lot about data stories. However, one thing we haven’t discussed is […]
Call for Comments: National Artificial Intelligence Research Resource
Have you ever considered the potential for a National (for the United States) resource for artificial intelligence research? If you have, it’s time to comment on the recent request from the White House Office of Science and Technology Policy (OSTP) and National Science Foundation (NSF). Updated 21 September 2021.
Learning with Digital Representations
Welcome to the Digging Digital Museum Collections blog series! The Alexandria Archive Institute and Open Context (AAI / OC) advocate for data sharing, data literacy, open access, and community collaborations. In this series, we explore user experiences with online museum collections and question what we can do to use museum collections data in more accessible, […]
Defining Data Literacy
If you’ve been following the Alexandria Archive Institute (AAI) you may have noticed we use some academic jargon. We try not to, but it’s unavoidable considering what we do.
