Description & Overview
GDPRtEXT provides two things:
- A RDF representation of the text of GDPR, at the article-paragraph granularity
- A vocabulary of terms and concepts relevant to the GDPR (from its text)
All resources are available under the CC-by-4.0 license.
GDPR text as RDF resource
Canonical Representation of Official Text
These are transformations of text with an id for each article-paragraph.
The transformed document is converted into RDF formats using the GDPRtEXT Ontology. The following serialisation formats are available: RDF/XML, Turtle, JSON-LD, N-Triples, and N3. These are defined in the DCAT catalog.
The resource is also available via a SPARQL endpoint, which can be explored using Pubby-based interface.
Graph IRIs for SPARQL:
DCAT Catalogue - purl.org/adaptcentre/resources/GDPRtEXt/distributions GDPR - purl.org/adaptcentre/resources/GDPR
GDPRtEXT ontology - purl.org/adaptcentre/ontologies/GDPRtEXT
The resource has been published at Zenodo, Datahub.io, and data.gov.ie.
GDPRtEXT OWL Vocabulary
An OWL vocabulary to express GDPR document structure and annotations based on the ELI ontology
You can read more about it, as well as download it using the documentation.
Data Protection Directive (DPD)
DPD as Linked Data
To facilitiate working with GDPR, we also annotated a DPD, which you can access here.
Also available is a serialised version as RDF and Turtle formats.
DPD to GDPR mappings
GDPR can be linked to the its predecessor, the Data Protection Directive (DPD) using mapping that shows the changes between the two legislations. Additionally, previous research related to using DPD obligations through approaches such as XACML can take advantage of the mapping.
The mapping table shows the change between the two legislations, and also whether a corresponding change is required in XACML rules based on DPD obligations.
Ongoing work with repository at https://opengogs.adaptcentre.ie/harsh/GDPRtEXT