Friday, May 10 • 9:00am - 11:25am
Adding structured and machine-readable data for copyright and licensing on Wikimedia Commons and Wikidata

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"In 2019, Wikimedia Commons, the free media repository of the Wikimedia ecosystem, is converted to structured data (https://commons.wikimedia.org/wiki/Commons:Structured_data/About). The more than 50 million media files on Wikimedia Commons can now be described with the help of multilingual and machine-readable data from Wikidata, Wikimedia's free, openly licensed & public database.

In practice, this means that Wikimedia Commons and Wikidata will probably soon be among the world's most diverse and open databases that hold structured data about creative works, including copyright-related, machine-readable information about these works and media files that represent them.

Structured data modelling of copyright, the public domain, open content licenses, traditional knowledge labels and rightsstatements.org statements is still a pretty open challenge. There are data models for parts of this puzzle (CC-REL, the Rightsstatements.org statements), several international communities have worked on copyright clearance databases and initiatives, and there have been attempts to create public domain calculators. The Wikidata and Wikimedia Commons communities will, around the CC Summit, probably be in the weeds of integrating all these models into an integral framework - a challenge in which input and active participation of as many stakeholders as possible is welcome and needed.

This workshop aims to bring more interested people from the Creative Commons community up to speed with this project, and to connect them more closely with Wikimedia's data modellers, by practically teaching how to describe media files with structured copyright data on Wikimedia Commons and Wikidata, and explaining how those communities model the logic of the public domain, Creative Commons and other free content licenses, Traditional Knowledge labels, and Rightsstatements.org statements. The workshop will, most likely, elicit deeper questions about how machine-readability and data interoperability should work, how this data is related to correct attribution, how it can be integrated in other platforms and tools… and is ultimately intended to be the starting point of a further and deeper conversation and stronger collaboration in this area in the open content community at large.

I will attend the entire conference. I will be happy to provide other contributions related to this, and to participate in any other sessions and panels that may be relevant."

Session notes:


avatar for Sandra Fauconnier

Sandra Fauconnier

Program Officer, GLAM and Structured Data, Wikimedia Foundation

Friday May 10, 2019 9:00am - 11:25am
New Delhi Room, 4th Floor, Museu do Oriente Av. Brasília 352, 1350-279 Lisboa, Portugal

Attendees (38)