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archaeology

Text on a white background with two rhombuses, the one on the left in dark blue and the one on the right in light blue next to one another to make a book like image. The First line text reads Open Context, the next reads a service of the Alexandria Archive institute the next, those are both in black letters, the title beneath that reads Archaeological Data Literacy and Comics in light blue matching the light blue in the book image, the words below that are "Bringing a passion project to a postdoctoral position" also in light blue. Beneath that in black it reads "Paulina F. Przystupa (@punuckish)" and then on a new line "ciszka@opencontext.org | ciszka@unm.edu" which are hyperlinked. And then on a new line "2 March 2023 - 8am PST". and then on a new line "California State University - Chico".

Archaeological Data Literacy and Comics

March 9, 2023 by Paulina Przystupa

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). 

On the right is blue text on a white background listing: The Tutorial Series; The Creative Series; The Dialogues Series; The Aggregative Series (which is in a light blue rounded box); The Solo Series; The Interactive Series; The Publication Series with each series on its own row; to the left is a grey box with text primarily in black. The text reads “Reading data involves understanding what data is, and what aspects of the world it represents. Working with data involves acquiring, cleaning, and managing it. Analyzing data involves filtering, sorting, aggregating, comparing, and performing other such analytic operations on it. Arguing with data involves using data to support a larger narrative intended to communicate a message to a particular audience. Bhargava, Rahul, et al. “Data murals: Using the arts to build data literacy.” The Journal of Community Informatics 12.3 (2016). Throughout this document, data stories are aligned to show how they can be used to reinforce Reading, Working, Analyzing, and Arguing with data.” Reading is in dark blue matching a circular book spine icon to the left of the text that is in white lines on the blue background; Working is in light blue matching a tabbed planner-style circular icon in white lines on the same light blue; Analyzing is in lavender corresponding to a circular computer icon in white lines on the same lavender; and Arguing is in pink corresponding to a circular text books icon in white lines

Listicles and Literacy – The Aggregative Series to promote data literacy

March 2, 2023 by Paulina Przystupa

For this Digital Data Stories (DDS) Series on Series entry, we’re introducing our Aggregative Series. While you may have misread that as our aggressive series, this series aggregates existing resources that teach archaeological data literacy. Currently, these will act as both recommendations for existing work from our staff  and a Data Story, guiding groups through […]

On the right is blue text on a white background listing: The Tutorial Series; The Aggregative Series; The Creative Series (which is in a light blue rounded box indicating the focus of this article); The Solo Series; The Interactive Series; The Publication Series; and Data Story Shorts with each series on its own row. To the left is a grey box with text primarily in black. The text reads “Reading data involves understanding what data is, and what aspects of the world it represents. Working with data involves acquiring, cleaning, and managing it. Analyzing data involves filtering, sorting, aggregating, comparing, and performing other such analytic operations on it. Arguing with data involves using data to support a larger narrative intended to communicate a message to a particular audience. Bhargava, Rahul, et al. “Data murals: Using the arts to build data literacy.” The Journal of Community Informatics 12.3 (2016). Throughout this document, data stories are aligned to show how they can be used to reinforce Reading, Working, Analyzing, and Arguing with data.” Reading is in dark blue matching a circular book spine icon to the left of the text that is in white lines on the blue background; Working is in light blue matching a tabbed planner-style circular icon in white lines on the same light blue; Analyzing is in lavender corresponding to a circular computer icon in white lines on the same lavender; and Arguing is in pink corresponding to a circular text books icon in white lines.

Keep it Creative: The Creative Series and data literacy

February 2, 2023 by Paulina Przystupa

For this Digital Data Stories (DDS) Series on Series entry, we (the Data Literacy Program) are introducing our Creative Series. One might assume that creativity rarely enters discussions of archaeological data literacy. However, the complex skills required to create art and story are perfect for the palimpsest that is archaeology. Knowing this, we thought it […]

Open Context logo at left; American Society of Overseas Resarch logo at right.

Call for Applicants for Digging Up Data: Turning an Idea into Digital Scholarship is live!

January 30, 2023 by Leigh Lieberman

In 2021, the Alexandria Archive Institute / Open Context, launched Digging up Data, a collaborative initiative in partnership with the American Society of Overseas Research Early Career Scholars Committee (ASOR ECS). The overwhelming interest in our pilot program encouraged us to team up again to promote data literacy and public scholarship among early career scholars. Under the […]

Data Stories Logo

Act 8: Editing our Stories

January 12, 2023 by Paulina Przystupa

Fall and early winter have been a whirlwind here at the Data Literacy Program (DLP). Between testing two Creative Series Data Stories and our other work, we did not post as much via AAI News. So what were we working on behind the scenes?

Open Context Roadmap

December 14, 2022 by Eric Kansa

While many steps in archaeological data publishing can be automated to speed up the publishing process, the complexity and diversity and messiness of archaeological data makes it really difficult to develop tools that in other systems might be simple…

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    • History
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    • What We Do
      • Open Context
      • Technology Innovation
      • Research
        • Projects
          • Data Literacy Program
          • Digital Data Stories
          • Digging Up Data
          • Sustainability, Collaboration, & Network Building
          • Digging Digital Museum Collections
            • Resources
      • Advocacy & Leadership
      • Education & Training
    • Impacts
      • Publications
  • News
  • Data Stories
    • Data Literacy Program
      • Archaeological Data Literacy Practicum
  • NEH-NADAC
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  • Digging Up Data
    • Application Information (2026)
    • Workshop Series
  • FAIR+CARE
  • Search

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