The research and industrial environments are struggling to identify practical approaches to highlight the (new) duties of controllers of personal data and foster the transition of IT-based systems, services, and tools to comply with the GDPR. In this paper, we present a solution for enhancing the modelling of business processes with facilities to help evaluate the compliance with the GDPR. The proposal is based on a model describing the constituents of the data protection domain: A structured form of the legal text, an ontology of data protection concepts, and a machine-readable translation of the GDPR provisions. An example of application is also provided.

Enhancing business process modelling with data protection compliance: an ontology-based proposal

Calabro' A.;Marchetti E.
2019

Abstract

The research and industrial environments are struggling to identify practical approaches to highlight the (new) duties of controllers of personal data and foster the transition of IT-based systems, services, and tools to comply with the GDPR. In this paper, we present a solution for enhancing the modelling of business processes with facilities to help evaluate the compliance with the GDPR. The proposal is based on a model describing the constituents of the data protection domain: A structured form of the legal text, an ontology of data protection concepts, and a machine-readable translation of the GDPR provisions. An example of application is also provided.
2019
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
9789897583599
BPMN
Business processes
General Data Protection Regulation (GDPR)
Legal ontologies
LegalRuleML
Privacy by Design
File in questo prodotto:
File Dimensione Formato  
prod_415734-doc_150685.pdf

accesso aperto

Descrizione: Enhancing business process modelling with data protection compliance: an ontology-based proposal
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 540.68 kB
Formato Adobe PDF
540.68 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/374748
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 15
social impact