Wikidata 2023 Highlights

Will Kent

Will Kent is the Wikidata Program Manager at Wiki Education. He leads online courses that teach participants about Wikidata skills, community norms, and best practices. He helps facilitate connections between new editors, the Wikidata community, and new projects that use Wikidata, the Wikidata Query Service, and Wikibase.  Since the inception of our Wikidata Edit-a-thon cycle, he has been gracious enough to share his knowledge of Wikidata with our community.

Enriching Wikidata: Golden Age and BIPOC Comic Characters

March 30th, 2023 9:30a-4p EST, and March 31st, 2023, 10a-12p EST

Comics as Data North America (CaDNA) is an ongoing collaborative project that examines library catalog data to explore geographies of publishing and library collecting policies in North American comics. Continuing an institutional history of creating collections as data, a group of Michigan State University librarians, digital humanists, and faculty formed a working group in 2018 to compile and analyze comic book data. 

Working in conjunction with Department of English, Graphic Possibilities Research Workshop, and the Consortium for Critical Diversity in Digital Age Research (CEDAR), this Wikidata event seeks to address gaps in digital record with an emphasis on Golden Age comics with BIPOC characters and by BIPOC creators. We welcome participants of all Digital Humanities/Wikidata experience to join our community of students, specialists, staff, faculty, and comics / Wikidata fans!

You must register for the event to receive the meeting information. Register here!

If you have any questions, please contact Nicole Huff (huffnico@msu.edu).

PAST EVENTS

The Second World: Visualizing Silver and Bronze Age Comics Wikidata

April 15th 2022, 1-5pm EST with a social hour beginning at 12pm EST

Wikidata Event Spring 2022 Flyer

Comics as Data North America (CaDNA) is an ongoing collaborative project that examines library catalog data to explore geographies of publishing and library collecting policies in North American comics. Continuing an institutional history of creating collections as data, a group of Michigan State University librarians, digital humanists, and faculty formed a working group in 2018 to compile and analyze comic book data. 

Working in conjunction with Department of English, Graphic Possibilities Research Workshop, and the Consortium for Critical Diversity in Digital Age Research (CEDAR), this Wikidata event addressed gaps in digital record. This was Graphic Possibilities’ second year hosting this Wikidata workshop, and we welcomed participants of all Digital Humanities/Wikidata experience to join our community of students, specialists, staff, faculty, and comics / Wikidata fans!

This event built on our Fall 2021 event in which participants edited and updated entries linked to the Silver Age and Bronze Age of comics by creating visualizations of Silver and Bronze Age Comics Wikidata.

“Visualizing Golden Age Comics Wikidata”

April 22nd, 2021, 1-5pm EST

Comics as Data North America (CaDNA) is an ongoing collaborative project that examines library catalog data to explore geographies of publishing and library collecting policies in North American comics. Continuing an institutional history of creating collections as data, a group of Michigan State University librarians, digital humanists, and faculty formed a working group in 2018 to compile and analyze comic book data.

“Visualizing Golden Age Comics Wikidata” is a Wikidata event that will build on previous Wikidata events to bring participants together in visualizing Golden Age Comics Wikidata and collaboratively create interactive graphs. Guest speaker: Will Kent from WikiEDU, who we recently had on our podcast!


We seek to ask “How can Wikidata liberate our understanding or thinking about comics? How can visualizing comics Wikidata reveal new insights into comics archives and collections?” 

Visualizing Wikidata Tutorial

Here’s a short video explaining our process for generating Wikidata visualizations for our Comics Wikidata! We’ll go over this in-depth during the event, but this is a good place to start. Captions are coming soon and should be available on 4/20! — Justin

Relevant links:

Wikidata Graph Builder
Basic Wikidata Query Template
Filled Wikidata Query Template

Spring 2021 Wikidata Flyer

Flyer announcing information about the April 22nd, 2021 Wikidata event held at Michigan State University. Email Justin Wigard for more information. His email is: wigardju@msu.edu

PAST EVENTS

Virtual Wikidata Edit-a-thon:
The Golden Age 

October 8th and 9th 2020

 

Comics as Data North America (CaDNA) is an ongoing collaborative project that examines library catalog data to explore geographies of publishing and library collecting policies in North American comics. Continuing an institutional history of creating collections as data, a group of Michigan State University librarians, digital humanists, and faculty formed a working group in 2018 to compile and analyze comic book data.

In its second year, CaDNA continues its investigation of linked data opportunities offered by MSU Library Special Collection Comic Art Collection. Working in conjunction with Department of English, Graphic Possibilities Research Workshop and Digital Humanities and Literary Cognition Lab (DHLC), this Wikidata event seeks to address gaps in digital record. This project will link Wikidata group across the country together in coordinated effort to update entries linked to the Golden Age of comics. For more information on joining this event contact Justin Wigard (wigardju@msu.edu).

Tutorial Video for the Fall 2020 Event

DH@MSU specialist Kate Topham put together a comprehensive video explaining our process that we will be following for the event. We will also go over this process each morning during the Wikidata Edit-A-Thon.

 

Registration Process:

  1. Create an account on Wikidata: create an account on Wikidata.
  2. Wikidata’s tutorial Tours: complete the first three “Tours” under Wikidata Basics (Items, Statements, References)
  3. Complete the GP Wikidata Registration.