Conference paper Open Access
GDPR-driven Change Detection in Consent and Activity Metadata
Pandit, Harshvardhan J.;
O'Sullivan, Declan;
Lewis, Dave
This position paper explores changes concerning the relationship between consent and activities in context of the General Data Protection Regulation (GDPR). Detecting and recording such changes with their effects can provide assistance in demonstration and manage-ment of compliance. We present an approach for using metadata-driven change detection and representation towards supporting querying for GDPR compliance. We use P-Plan (an extension to PROV) for rep-resenting provenance of activities and ODRL for representing consent.We explore the presented approach by means of a use-case.
Files
(277.4 kB)
| Name | Size | |
|---|---|---|
|
preprint.pdf
md5:409932b90879464de37a70f5e293a42d |
277.4 kB | Download |
3
3
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 3 | 3 |
| Downloads | 3 | 3 |
| Data volume | 832.3 kB | 832.3 kB |
| Unique views | 3 | 3 |
| Unique downloads | 3 | 3 |
Indexed in
- Publication date:
- June 26, 2018
- DOI:
-
- Grants:
-
Science Foundation Ireland:
- ADAPT: Centre for Digital Content Platform Research (13/RC/2106)
- Meeting:
- Managing the Evolution and Preservation of the Data Web (MEPDaW)
- License (for files):
- Creative Commons Attribution 4.0 International