developing and applying rights expressions using odrl and rightsml: 3 dilemmas, 3 adoption...
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Developing and ApplyingRights ExpressionsUsing ODRL and RightsML: Three Dilemmas and Three Adoption StrategiesTRANSCRIPT
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Developing and ApplyingRights Expressions
Using ODRL and RightsML
Three DilemmasThree Adoption Strategies
Stuart MylesThe Associated Press
rightsml.org @smyles
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rightsml.org @smyles
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rightsml.org @smyles
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The News Industry Needs Machine Readable Rights
Increasing automation of workflowsLess opportunity for editors to read notes,
the traditional means of indicating restrictions and duties
Sophisticated publishing relationshipsFewer single purpose, static connections
More (need for) flexible, ad hoc uses of content which respect rights
IPTC decided to tackle rights expression
rightsml.org @smyles
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IPTC RightsML
Founded on ODRLOpen Digital Rights Language 2.0
Selected by IPTC after evaluating several alternativeshttp://www.w3.org/community/odrl/
RightsML is a news industry specific vocabulary
Plugs into ODRL frameworkRighstML 1.0 currently in an “experimental phase”
http://rightsml.orghttp://linkedcontentcoalition.org
rightsml.org @smyles
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IPTC’s RightsML experimental phasehas revealed
Three Dilemmasand
Three Adoption Strategies
rightsml.org @smyles
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Dilemma #1
A general purpose REL?or
A news industry specific REL?
Does more control mean less risk?Are the needs of the news industry actually that specific?
(What is the news industry?)ODRL quite willing to incorporate feedback into the core
vocabulary rightsml.org
@smyles
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Dilemma #2
Sophistication (too complex)?or
Simplicity (too simplistic)?
Permissions, restrictions and duties can get quite complexA complicated-looking standard is a hurdle for adoption
rightsml.org @smyles
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Dilemma #3
Tool support paves the way for adoptionbut
Vendors are loathe to implementa new standard
There’s more than one standard already for rights expressionIs it better to back an inferior but somewhat adopted REL?
Or to promote a superior but unknown REL?
rightsml.org @smyles
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Adoption Strategy #1
Start at the edge
If you have any kind of structured rights expression internallyMap your internal rights mechanisms into RightsML
At the point of delivery to clients
rightsml.org @smyles
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Adoption Strategy #2
Start in the middle
You need to handle rights internallyAdopt RigthsML for your own rights clearance mechanisms
rightsml.org @smyles
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Adoption Strategy #3
Start somewhere
Not everything needs to be converted at the same timeYou can gain value from working with
Particular media typesParticular customer types
Start somewhere and grow the adoption
rightsml.org @smyles
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Thankyou
rightsml.org @smyles