A catalog is also a dataset, which means because of my Zine Bakery project’s zine catalog, I’ve got a hand built, richly described, tidily organized dataset I know well. Seeing my zine catalog as a dataset opens it to my data science and digital humanities skillset, including data viz, coding, and data-based making. Below, I share some of the data-driven scholarship I’ve pursued as part of my Zine Bakery project.
Giving a talk on data-driven making for the DH 2024 conference
A peek under the hood
Screenshot of just a small portion of my thematic tagging. I’ve got 134 different tags used on catalog zines (as of 9/16/2024):
Below, a zoomed-out screenshot of my tagging table, which does not capture the whole thing (which is about twice as wide and twice as a tall as what’s shown); and a zoomed-in view:
The tags are just one of many fields (78 total fields per zine, as of 9/16/2024) in my database:
I’m able to easily pull out stats from the catalog, such as the average zine length in my collection being 27 pages (and shortest, longest zine lengths):
Data-driven making research
My Spring 2024 peer-reviewed article “Book Adjacent: Database & Makerspace Prototypes Repairing Book-Centric Citation Bias in DH Working Libraries” discusses the relational database I built underlying the Zine Bakery project, as well as 3 makerspace prototypes I’ve built or am building based on this data.
One of those projects was a card deck and case of themed zine reads, with each card displaying a zine title, creators, and QR code linking to free reading of the zine online:
My online zine quilt dataviz will eventually be an offline actual quilt, printed on fabric with additional sewn features that visualize some of the collection’s data:
The dataset is also fueling design plans for a public interactive exhibit, with a reading preferences quiz that results in a receipt-style printout zine reading list:
I’m also experimenting with ways to put digital-only zines visibly on physical shelves: