Increasing Institutional Reach with Wikimedia Platforms

Wednesday, April 5th: 12:15pm - 1:00pm

Presenters:

Jennie Choi

General Manager of Collection Information @ The Metropolitan Museum of Art

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Workshop Abstract

HALF DAY PRECONFERENCE WORKSHOP

OVERVIEW

 

For the past several years, GLAM organizations worldwide have been working with Wikipedia and its sister projects Wikidata and Wikimedia Commons. In today\’s mobile- and visual-first landscape, GLAM contributions to free knowledge platforms through efforts like Open Access are essential for broad impact. With over 20 billion page views a month and 67 billion media requests a month, Wikipedia projects allow museums to extend their global reach in multiple languages and place collections in new contexts.

 

This half-day workshop is designed for anyone looking to increase the impact and reach of cultural heritage institutions and their collections.

 

Attendees will:

Understand the impact of Wikimedia projects (Wikipedia, Wikidata, Wikimedia Commons), their relation to search engine optimization, voice assistants, and algorithmic applications, and how this furthers the mission of GLAM organizations.
Learn practical skills to analyze, compare, and share institutional data on Wikimedia platforms, including evaluating an institution\’s current representation and \”wiki footprint\” of metadata and media content.
Discover how an institution\’s works link to global collections data through querying tools, knowledge graphs, and other data visualizations.

 

References:

\”Why you should be paying attention to Wikidata and GLAM\”, 23 August 2016, by Alex Stinson, Sandra Fauconnier, Liam Wyatt, Susanna Ånäs and Jane Darnell

https://diff.wikimedia.org/2016/08/23/wikidata-glam/

 

\”Building a Web of Knowledge Through Wikidata – Learn how sharing to open data platforms is important to increasing the visibility of artists represented in SAAM\’s collection\”, Sonoe Nakasone, March 25, 2022

https://americanart.si.edu/blog/wikidata-artists

 

\”Extending the Met’s reach with Wikidata,\” July 7, 2020, Jennie Choi

https://wikiedu.org/blog/2020/07/07/extendin

ID: 11048