Submitted by: Geerten Verweij (Student researcher Kamer van Koophandel)

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Bio

I am a Computer Science master student at the Leiden University.
Currently I am doing my graduation research at the Dutch Chamber of
Commerce (the KvK).

The Dutch national trade registry is owned by the KvK and it contains both
public and non-public data.
Linked data could be used to make the trade registry useable in a much more
powerful way by citizens, companies and government institutes.
Compliance is essential to make this linked data useable by these parties.
Privacy and access-management ontologies are essential to guarantee
security and to abide the privacy-laws on this linked data.

Official identities are essential for this, here are some examples:
Citizen identity. Citizen service number.
Business identity. KvK number.
Personal identity within a business. Citizen identity combined with
business identity.
Professional identity within a specific field. For example a doctors
official medical identity controller by the Dutch Ministry of Health.

The goal is to be able to use all of these different identities in
implementing privacy, provenance, consent, signing and attesting in linked
data.

I would like to attend te workshop together with my supervisor Joost
Fleuren who is the program manager of Innovations at the KvK.

My LinkedIn: https://www.linkedin.com/in/geerten-verweij-04846527/
Joost's LinkedIn: https://www.linkedin.com/in/joostfleuren/

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Your goals

Helping W3C to create standards based on needs from government institutes
on the ground.
Learning more about upcoming standards in identity and privacy in linked
data.

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Workshop Goals

Creating standards in identity and privacy in linked data based on needs
from the industries that will use these standards.

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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 5 ] 
 * Identity management vocabularies: [ Ranked 3 ] 
 * Modeling personal data usage, processing, sharing, and tracking: [ Ranked 4 ] 
 * Interlinking aspects of privacy and provenance: [ Ranked 1 ] 
 * Modeling consent and making it transportable: [ Ranked 6 ] 
 * New ways to put the user in control benefiting from semantic
   interoperability of policy information: [ Ranked 10 ] 
 * Modeling permissions, obligations, and their scope: [ Ranked 2 ] 
 * Reasoning about formally declared privacy policies: [ Ranked 9 ] 
 * Exploring links and synergies using Linked Data vocabularies in the
   context of related efforts: [ Ranked 7 ] 
 * Visualizations of data and policy information to help data self
   determination: [ Ranked 8 ] 

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Other Thoughts