Submissions:2019/GLAMs embracing open access and Wikidata: Experiences from the Met Museum

From WikiConference North America
Revision as of 09:42, 4 October 2019 by SuperHamster (talk | contribs) (→‎top: Submission accepted)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

This submission has been accepted for WikiConference North America 2019.



Title:

GLAMs embracing open access and Wikidata: Experiences from the Met Museum

Theme:

Reliability of Information
+ Tech & Tools

Type of session:

Presentation

Abstract:

Ever since the Metropolitan Museum of Art released its artworks under an open access license in 2017, it has continued to push new boundaries on amplifying the impact of its CC0 licensed works and its metadata in the greater GLAM ecosystem. The Met's Wikimedia strategist, Andrew Lih and Wikimedian in residence Richard Knipel will describe how they have worked with the Wikimedia's platforms and its community to incorporate The Met's collection and to enrich both sides and multiple stakeholders in the creating content and technical tools. Topics to be covered include:

  • Wikidata techniques - Explain how The Met has worked towards comprehensive linked open data contributions (and continuing synchronization) of the museum's diverse collections with Wikidata. This includes a case study of using of Python, Pandas library for data science and the PAWS shell on WMF Labs servers as the primary way to efficiently upload and maintain metadata in Wikidata.
  • Knowledge Graph - Demonstrate how anyone can easily use of Wikidata Query and SPARQL to create rich interactive knowledge graphs from Wikidata RDF triples. Some examples include the depiction of Socrates in paintings across museums (https://w.wiki/6Bf) and the impact of the Portrait of Madame X, by John Singer Sargent, in art, fashion and film (https://w.wiki/6bx).
  • Artificial intelligence and machine learning - Describe how The Met has used its open access collection and metadata in AI and ML experiments to help create depiction statements for Wikidata, and implemented a Wikidata Game for the community to help screen and add meaningful P180 statements.
  • Edit-a-thons and new modeling - Illustrate how The Met's public-facing events have helped increase the quality of modeling and content in Wikidata, such as in the area of costumes and fashion.
  • New narratives for linked open data's impact - Provide new ideas on how to communicate the benefits of linked open data and Wikidata to potential GLAM partners, using the framework of Nina Simon and The Participatory Museum. In particular, Wikidata's powerful querying and exploratory power form a new way for the public to be co-creative in ways that exceed what Wikipedia collaboration and Commons uploading entail today.

Ideally this would be a 20-30 minute presentation session, but could be also formed as a panel or roundtable with other GLAM institutions or Wikimedians in Residence.

Academic Peer Review option:

No

Author name:

Andrew Lih

E-mail address:

andrew.lih@gmail.com

Wikimedia username:

Fuzheado

Affiliated organization(s):

Metropolitan Museum of Art

Estimated time:

20-30 minutes

Preferred room size:

50

Special requests:

Have you presented on this topic previously? If yes, where/when?:

A limited version of this was presented at Wikimania

If your submission is not accepted, would you be open to presenting your topic in another part of the program? (e.g. lightning talk or unconference session)

Yes, lightning or GLAM session