Submitted by: Gerard Kuys

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Bio

I am a Linked Data specialist both professionally and a a volunteer (member
of the DBpedia community, member of its Ontology Committee). Making linked
data available to the public is commendable, but should e a conscious
decision. Especially with Linked Data, most of the time one has to deal
with data that are partly public and partly private. So I very much endorse
any attempt to develop demarcations and vocabularies that make it easier
for anyone to mark his or her data as public, conditionally public and
private.

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Your goals

Demarcations and vocabularies that make it easier for anyone to mark his or
her data as public, conditionally public and private.
I am very much interested, but don't know yet whether or not I will be able
to attend.

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Workshop Goals

Clear recommendations

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Your interests

Please select the rank-order (1 to 10) for the options
you think are acceptable (i.e.  you can 
live with it), where 1  is the most preferred, 2 the next best and so on...

 * Vocabularies to model privacy policies, regulations, and involved
   (business) processes: [ Ranked 1 ] 
 * Identity management vocabularies: [ Don’t mind ] 
 * Modeling personal data usage, processing, sharing, and tracking: [ Don’t mind ] 
 * Interlinking aspects of privacy and provenance: [ Ranked 5 ] 
 * Modeling consent and making it transportable: [ Ranked 3 ] 
 * New ways to put the user in control benefiting from semantic
   interoperability of policy information: [ Ranked 6 ] 
 * Modeling permissions, obligations, and their scope: [ Ranked 2 ] 
 * Reasoning about formally declared privacy policies: [ Don’t mind ] 
 * Exploring links and synergies using Linked Data vocabularies in the
   context of related efforts: [ Ranked 4 ] 
 * Visualizations of data and policy information to help data self
   determination: [ Don’t mind ] 

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Other Thoughts