Project description
How to achieve GDPR compliance while driving innovation
Organisations today face numerous challenges in ensuring compliance with the General Data Protection Regulation (GDPR). The EU-funded BPR4GDPR project provides a versatile framework that caters to various scales and application domains and delivers a set of tools that correspond to GDPR requirements. Deployed on the cloud and using a semantic foundation, the project employs process models expressed through a Compliance Metamodel, capturing advanced privacy provisions. A powerful policy framework ensures automatic verification and transformation of models, making them inherently privacy-aware. Leveraging process mining, it verifies compliance and improves models over time, Comprehensively addressing GDPR challenges, BPR4GDPR offers tools to support GDPR compliance, reporting, data handling, and privacy-enhancement.
Objective
The goal of BPR4GDPR is to provide a holistic framework able to support end-to-end GDPR-compliant intra- and inter-organisational ICT-enabled processes at various scales, while also being generic enough, fulfilling operational requirements covering diverse application domains. To this end, proposed solutions will have a strong semantic foundation and cover the full process lifecycle addressing major challenges and priorities posed by the regulation, including requirements interpretation, broad territorial scope, accountability, security means enforcement, data subject’s rights and consent, unified data view and processing actions inventory, privacy by design, etc.
The starting point will be process models, either automatically discovered through organisation logs or manually specified, formally expressed through a Compliance Metamodel, a comprehensive process modelling technology able to capture advanced privacy provisions. Thereupon, a highly expressive policy framework will guide the automatic verification of these models regarding GDPR requirements, and their subsequent transformation, so that they are rendered inherently privacy-aware before being deployed for execution. Subsequently, the consistent execution of GDPR-compliant processes will be ensured by a comprehensive set of tools able to support all diverging requirements that may arise from GDPR, related to data handling, data subjects’ involvement, various PETs, etc., so that even organisations with currently no such infrastructure in place can readily have such mechanisms. Finally, process mining will be extensively used for the ex post analysis of processes, in order to ensure that specified policies are indeed enforced. However, apart from verifying compliance, such techniques will offer the added value of automatically improving process models over time towards optimised fulfillment of both legal and business requirements.
Deployed on the Cloud, BPR4GDPR will provide for Compliance-as-a-Service (CaaS)
Fields of science
- natural sciencescomputer and information sciencesknowledge engineeringontology
- natural sciencescomputer and information sciencescomputer securitydata protection
- social scienceseconomics and businessbusiness and managementbusiness models
- social scienceseconomics and businesseconomicssustainable economy
- social scienceslaw
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
76131 Karlsruhe
Germany