Auto-filling the GDPR readiness checklist by querying the compliance graph. Underlying technologies are RDF/OWL/SPARQL for the creation and querying of the compliance graph.

Harshvardhan Pandit 2401d108cb added GDPR readiness checklist HTML 10 months ago
demo 2401d108cb added GDPR readiness checklist HTML 10 months ago
sparql d78b661c9c dashboard commit 10 months ago
.gitignore d78b661c9c dashboard commit 10 months ago
LICENSE 12a739df34 Initial commit 11 months ago
README.md 326be7b005 added notes, acknowledgement, license 10 months ago
inferred.owl 2401d108cb added GDPR readiness checklist HTML 10 months ago
remove_owl_data.py d78b661c9c dashboard commit 10 months ago
removed.ttl 2401d108cb added GDPR readiness checklist HTML 10 months ago
shoppingapp.owl d78b661c9c dashboard commit 10 months ago

README.md

GDPR-readiness-checklist-usecase

Available Online

The Data Protection Commissioner of Ireland (DPC Ireland) has put forth a GDPR readiness checklist (GDPR-RC) [1] that consists of a spreadsheet meant to be filled to assess and help in GDPR readiness. This research aims to demonstrate how this information can be (semi-)automatically filled based on querying a compliance graph containing the required information. The research is primarily focused on provenance information (metadata), and uses the GDPR-RC as a demonstrative use-case of compliance-graph querying. Metadata is stored as RDF/OWL using the previously published GDPRov [2] and GDPRtEXT [3] vocabularies. Querying is done using SPARQL. The development environment for this work is primarily Protege, with the webapp using flask+rdflib.

[1] http://gdprandyou.ie/

[2] http://openscience.adaptcentre.ie/projects/CDMM/GDPRov/

[3] http://openscience.adaptcentre.ie/projects/GDPRtEXT/