Why is rights metadata necessary for modern news and media organizations? How does IPTC's RightsML help solve those requirements? What are the opportunities to work with Google, Europeana, MINDS or other organizations to make progress with addressing the challenge of rights for news and media?

1. Rights Expression Working Group
Stuart Myles * Associated Press * 15th October 2018
© 2018 IPTC (www.iptc.org) All rights reserved
http://dev.iptc.org/RightsML
https://groups.io/g/iptc-rightsml/topics
https://flic.kr/p/HMQ514
https://flic.kr/p/7LDzY3

2. Agenda
• Why rights metadata?
– Greater efficiency - enable auto publishing, simplify reuse
– Limit legal risks
• Why RightsML?
– Future-proof your rights expression capabilities
– Support content reuse and archive licensing
– Support complex rights scenarios
• Google Images support for rights metadata
• Europeana, RightsStatements.org and ODRL
• What do we want to do next with rights and RightsML?

3. Rights Challenges
• How to increase efficiency?
– Eliminate manual review of copyright clearances
– Reduce costs by automatically optimizing content selection
– Track licensed content, to increase reuse and minimize costs
• How to reduce legal risks?
– Avoid inadvertent rights infringements
– Enforce and relay rights for partner content
• How to leverage licensing opportunities?
– Determine whether you can share or sell a piece of content from
your archive

4. IPTC RightsML
• Rights expression language
• Machine processable permissions, restrictions and
duties
• Tuned to the needs of the news and media industry
• IPTC standard
https://iptc.org/standards/rightsml/
• Founded on W3C ODRL
https://www.w3.org/TR/odrl-model/

5. • Supports all use cases - from simple to complex
• Designed for all media types
– Can be "embedded" within an asset – ideal for photo, video and
audio binaries
– Or referenced remotely – for example in a rights registry
– Or an accompanying file – for cross media publishing
• Can be used with a variety of metadata formats
– IPTC photo metadata, NewsML-G2, Video Metadata Hub
– And many others
• Supports a range of modern technologies
– XML, JSON-LD, RDF out of the box
– And a data model structured to support any others
Why IPTC RightsML?

6. Contracts & Per Item Restrictions
• To fully supports content reuse, it is necessary to
evaluate the combination of a license and per-item
restrictions
• RightsML can express entire licensing contracts
• And it supports per-item restrictions – like machine-
readable editors notes
• RightsML can express entirely new permissions,
restrictions and duties, without changing the language

7. Rights Complexity
• Some restrictions are straightforward “outs” based on
location, distribution channel or recipient
• Others, however, can be complex combinations of
restrictions
• They may also require the fulfilment of complex duties in
order to “unlock” a particular use
• RightsML supports these types of sophisticated
scenarios in a standard, machine-processable way

8. Adopt RightsML
• You need to adopt machine-processable rights if you
want to
– Enable auto publishing
– Limit legal risks
• You should adopt RightsML if you want to
– Future-proof your rights expression capabilities
– Support content reuse and archive licensing
– Support complex rights scenarios
• Get started with RightsML today http://rightsml.org

9. Google Images now supports rights-related metadata
Creator, Credit and (soon) Copyright Notice
https://www.blog.google/products/search/image-rights-metadata-google-images/
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10. Moving Rights Forward
• Work with Europeana on rightsstatements.org?
– Already using some ODRL properties
– Uses RDF data model, so RightsML is a natural fit
– It might only require adding a few properties to RightsML vocab?
• Work out the details for representing machine readable
rights for photos
– Photo metadata allows for RightsML or other languages
– But there is no real guide for how to do it
– And what about … video?
• Other opportunities
– Does RightsML have a role in “smart contracts” (blockchain)?
– Cooperate with other organizations such as MINDS?
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11. Date and Place of Next Meeting
Lisbon 8-10 April 2019
https://flic.kr/p/23MgffU
Thanks!
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