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1 2019

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Deriving workflow privacy patterns from legal documents

Robak Marcin, Buchmann Erik

Annals of Computer Science and Information Systems

2019

Vol. 18

555-563

The recent General Data Protection Regulation (GDPR) has strengthened the importance of data privacy and protection for enterprises offering their services in the EU. Important part of intensified efforts toward better privacy protection is enterprise workflow redesign. It has been already found that the privacy level can be raised with applying the privacy by design principle when re(designing) workflows. A conforming and promising approach is to model privacy relevant workflow fragments as Workflow Privacy Patterns (WPPs) which provide abstract, ‘best practices‘ solution proposals to problems recurring in privacy-aware workflows. WPPs are intended to support process developers, auditors and privacy officers by providing pre-validated patterns that correspond with existing data privacy regulations. However, it is unclear yet how to obtain WPPs with an appropriate level of detail. In this paper, we will introduce our approach to derive WPPs from legal texts and other descriptive regulations. We propose a structure of a WPP, which we derive from pattern approaches from other research areas. We also show the steps for designing a WPP. We think that this approach can be an valuable input towards supporting privacy in enterprises.